Episode 2 — React Frontend Architecture NextJS / 2.17 — Understanding Full Stack Frameworks

2.17.b — Modern Web Frameworks — Landscape (2026)

In one sentence: In 2026, meta-frameworks across React, Vue, and Svelte converge on server-aware routing and shared types, while teams choose based on skills, content vs app shape, deploy targets, and security—not hype cycles alone.

Navigation: ← Full Stack Frameworks · → 2.17 Overview

1. Modern web frameworks in 2026 — how to read the landscape

This section is a mental map, not a ranking chart. Frameworks move fast; interviews reward criteria-based comparisons, not memorizing version numbers.

1.1 The dominant pattern: meta-framework + UI library

Examples (non-exhaustive):

Ecosystem	Representative meta-frameworks
React	Next.js, Remix, TanStack Start (ecosystem maturation varies—verify current docs)
Vue	Nuxt
Svelte	SvelteKit
Multi / islands	Astro (+ optional React/Vue/Svelte islands)

They share goals: file-based or convention-based routing, server-aware data loading, and deployment integration.

1.2 Forces shaping 2026 development

Server-first rendering mainstreamed by React Server Components adoption in Next and ecosystem responses elsewhere.
Edge vs Node clarity: teams choose where auth, personalization, and DB drivers may run—not everything belongs on edge.
Type-safe boundaries: shared schemas between client and server (Zod/Valibot/tRPC patterns) are baseline expectations in strong teams.
AI-assisted coding: strong conventions reduce bad codegen; frameworks with clear file roles help humans review diffs faster.
Security baseline: CSP, CSRF posture for cookies, secrets scanning—framework does not remove responsibility.

1.3 How to pick (interview algorithm)

Team skills (React vs Vue vs Svelte).
Content vs app ratio (marketing-heavy → islands/Astro considerations).
Latency & deploy target (serverless cold starts vs long-lived Node).
Data loading model (loaders/actions vs RSC vs hybrid).
Exit strategy (avoid hard-coding vendor APIs without adapters for critical paths).

1.4 Honest “2026” note for authors and learners

Ship dates and defaults change. Always cross-check official docs for the version you install. This curriculum teaches durable concepts: routing, rendering, caching, auth, and boundaries.

1.5 Where Next sits in the conversation

Next is the default interview lingua franca for React full stack roles in many markets—not because it is universally superior, but because demand and learning material density are high. Senior answers still compare trade-offs vs Remix/Nuxt/etc.

1.6 Microservices vs full stack monolith

A full stack monolith can still call microservices. The framework organizes the web tier; your org may still have payments, search, and identity as separate services.

1.7 Other ecosystems (awareness, not endorsement)

Teams also evaluate SolidStart (Solid.js), RedwoodJS (React + opinionated GraphQL stack for product teams), Fresh (Deno), and Qwik City-style resumability-focused stacks when bundle size, cold-start, or execution model are primary constraints. Interview credibility: name the problem each stack optimizes, not buzzwords.

1.8 “BFF inside the framework” pattern

Many teams implement a Backend-for-Frontend as Route Handlers / server actions / loaders inside the same repo that serves UI. That keeps web-shaped aggregation logic next to routes while core domains may still live in microservices.

1.9 Design systems + meta-frameworks

Component libraries (MUI, Chakra, shadcn patterns) integrate across frameworks; the meta-framework still decides routing, SSR/RSC, and deployment. Conflicts appear around CSS-in-JS runtime vs RSC—verify library compatibility for your version.

1.10 Observability in 2026 expectations

Production teams expect distributed tracing from edge → server function → DB, structured logs, and SLOs on critical routes. Framework choice affects where you attach spans—not whether you need them.

1.11 Compliance and regionalization

GDPR-style deletion, audit logs, and data residency may force region-specific deploys or database pinning. Framework portability matters when legal requires multi-cloud or self-host options.

1.12 Study method (avoid framework tourism)

Pick two stacks maximum per quarter. Build the same vertical slice (auth + CRUD + list/detail) in each. Compare DX, bundle metrics, p95 latency, and lines of glue code—not tutorial step counts.

Part 2 — Deep Encyclopedia (Modern Web Frameworks — Landscape (2026))

How to use: Each drill = scenario → prompt → model answer → optional code sketch.

E001 — Drill 1: Vue enterprise chooses between Nuxt and SPA + separate API.

Scenario: Vue enterprise chooses between Nuxt and SPA + separate API. (variation 1: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #1?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #1, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E002 — Drill 2: Content-heavy marketing site picks Astro + React islands.

Scenario: Content-heavy marketing site picks Astro + React islands. (variation 2: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #2?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #2, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E003 — Drill 3: Team loves file-based routing + loaders: Remix vs Next App Router.

Scenario: Team loves file-based routing + loaders: Remix vs Next App Router. (variation 3: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #3?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #3, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E004 — Drill 4: Edge-first latency goals steer toward Workers-compatible stacks.

Scenario: Edge-first latency goals steer toward Workers-compatible stacks. (variation 4: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #4?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #4, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E005 — Drill 5: Hiring pool in region skews React

Scenario: Hiring pool in region skews React — framework choice as talent strategy. (variation 5: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #5?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #5, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E006 — Drill 6: TanStack Router + Start ecosystem maturity question in 2026.

Scenario: TanStack Router + Start ecosystem maturity question in 2026. (variation 6: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #6?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #6, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E007 — Drill 7: SvelteKit adoption for smaller bundles

Scenario: SvelteKit adoption for smaller bundles — when credible? (variation 7: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #7?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #7, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E008 — Drill 8: Deno Fresh vs Node Next

Scenario: Deno Fresh vs Node Next — runtime politics in org. (variation 8: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #8?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #8, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E009 — Drill 9: Mobile later: shared types between server and web via monorepo.

Scenario: Mobile later: shared types between server and web via monorepo. (variation 9: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #9?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #9, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E010 — Drill 10: AI codegen churn: conventions reduce prompt surface area.

Scenario: AI codegen churn: conventions reduce prompt surface area. (variation 10: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #10?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #10, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E011 — Drill 11: Vue enterprise chooses between Nuxt and SPA + separate API.

Scenario: Vue enterprise chooses between Nuxt and SPA + separate API. (variation 11: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #11?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #11, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E012 — Drill 12: Content-heavy marketing site picks Astro + React islands.

Scenario: Content-heavy marketing site picks Astro + React islands. (variation 12: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #12?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #12, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E013 — Drill 13: Team loves file-based routing + loaders: Remix vs Next App Router.

Scenario: Team loves file-based routing + loaders: Remix vs Next App Router. (variation 13: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #13?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #13, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E014 — Drill 14: Edge-first latency goals steer toward Workers-compatible stacks.

Scenario: Edge-first latency goals steer toward Workers-compatible stacks. (variation 14: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #14?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #14, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E015 — Drill 15: Hiring pool in region skews React

Scenario: Hiring pool in region skews React — framework choice as talent strategy. (variation 15: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #15?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #15, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E016 — Drill 16: TanStack Router + Start ecosystem maturity question in 2026.

Scenario: TanStack Router + Start ecosystem maturity question in 2026. (variation 16: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #16?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #16, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E017 — Drill 17: SvelteKit adoption for smaller bundles

Scenario: SvelteKit adoption for smaller bundles — when credible? (variation 17: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #17?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #17, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E018 — Drill 18: Deno Fresh vs Node Next

Scenario: Deno Fresh vs Node Next — runtime politics in org. (variation 18: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #18?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #18, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E019 — Drill 19: Mobile later: shared types between server and web via monorepo.

Scenario: Mobile later: shared types between server and web via monorepo. (variation 19: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #19?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #19, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E020 — Drill 20: AI codegen churn: conventions reduce prompt surface area.

Scenario: AI codegen churn: conventions reduce prompt surface area. (variation 20: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #20?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #20, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E021 — Drill 21: Vue enterprise chooses between Nuxt and SPA + separate API.

Scenario: Vue enterprise chooses between Nuxt and SPA + separate API. (variation 21: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #21?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #21, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E022 — Drill 22: Content-heavy marketing site picks Astro + React islands.

Scenario: Content-heavy marketing site picks Astro + React islands. (variation 22: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #22?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #22, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E023 — Drill 23: Team loves file-based routing + loaders: Remix vs Next App Router.

Scenario: Team loves file-based routing + loaders: Remix vs Next App Router. (variation 23: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #23?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #23, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E024 — Drill 24: Edge-first latency goals steer toward Workers-compatible stacks.

Scenario: Edge-first latency goals steer toward Workers-compatible stacks. (variation 24: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #24?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #24, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E025 — Drill 25: Hiring pool in region skews React

Scenario: Hiring pool in region skews React — framework choice as talent strategy. (variation 25: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #25?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #25, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E026 — Drill 26: TanStack Router + Start ecosystem maturity question in 2026.

Scenario: TanStack Router + Start ecosystem maturity question in 2026. (variation 26: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #26?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #26, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E027 — Drill 27: SvelteKit adoption for smaller bundles

Scenario: SvelteKit adoption for smaller bundles — when credible? (variation 27: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #27?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #27, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E028 — Drill 28: Deno Fresh vs Node Next

Scenario: Deno Fresh vs Node Next — runtime politics in org. (variation 28: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #28?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #28, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E029 — Drill 29: Mobile later: shared types between server and web via monorepo.

Scenario: Mobile later: shared types between server and web via monorepo. (variation 29: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #29?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #29, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E030 — Drill 30: AI codegen churn: conventions reduce prompt surface area.

Scenario: AI codegen churn: conventions reduce prompt surface area. (variation 30: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #30?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #30, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E031 — Drill 31: Vue enterprise chooses between Nuxt and SPA + separate API.

Scenario: Vue enterprise chooses between Nuxt and SPA + separate API. (variation 31: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #31?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #31, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E032 — Drill 32: Content-heavy marketing site picks Astro + React islands.

Scenario: Content-heavy marketing site picks Astro + React islands. (variation 32: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #32?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #32, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E033 — Drill 33: Team loves file-based routing + loaders: Remix vs Next App Router.

Scenario: Team loves file-based routing + loaders: Remix vs Next App Router. (variation 33: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #33?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #33, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E034 — Drill 34: Edge-first latency goals steer toward Workers-compatible stacks.

Scenario: Edge-first latency goals steer toward Workers-compatible stacks. (variation 34: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #34?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #34, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E035 — Drill 35: Hiring pool in region skews React

Scenario: Hiring pool in region skews React — framework choice as talent strategy. (variation 35: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #35?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #35, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E036 — Drill 36: TanStack Router + Start ecosystem maturity question in 2026.

Scenario: TanStack Router + Start ecosystem maturity question in 2026. (variation 36: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #36?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #36, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E037 — Drill 37: SvelteKit adoption for smaller bundles

Scenario: SvelteKit adoption for smaller bundles — when credible? (variation 37: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #37?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #37, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E038 — Drill 38: Deno Fresh vs Node Next

Scenario: Deno Fresh vs Node Next — runtime politics in org. (variation 38: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #38?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #38, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E039 — Drill 39: Mobile later: shared types between server and web via monorepo.

Scenario: Mobile later: shared types between server and web via monorepo. (variation 39: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #39?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #39, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E040 — Drill 40: AI codegen churn: conventions reduce prompt surface area.

Scenario: AI codegen churn: conventions reduce prompt surface area. (variation 40: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #40?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #40, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E041 — Drill 41: Vue enterprise chooses between Nuxt and SPA + separate API.

Scenario: Vue enterprise chooses between Nuxt and SPA + separate API. (variation 41: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #41?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #41, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E042 — Drill 42: Content-heavy marketing site picks Astro + React islands.

Scenario: Content-heavy marketing site picks Astro + React islands. (variation 42: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #42?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #42, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E043 — Drill 43: Team loves file-based routing + loaders: Remix vs Next App Router.

Scenario: Team loves file-based routing + loaders: Remix vs Next App Router. (variation 43: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #43?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #43, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E044 — Drill 44: Edge-first latency goals steer toward Workers-compatible stacks.

Scenario: Edge-first latency goals steer toward Workers-compatible stacks. (variation 44: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #44?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #44, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E045 — Drill 45: Hiring pool in region skews React

Scenario: Hiring pool in region skews React — framework choice as talent strategy. (variation 45: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #45?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #45, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E046 — Drill 46: TanStack Router + Start ecosystem maturity question in 2026.

Scenario: TanStack Router + Start ecosystem maturity question in 2026. (variation 46: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #46?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #46, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E047 — Drill 47: SvelteKit adoption for smaller bundles

Scenario: SvelteKit adoption for smaller bundles — when credible? (variation 47: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #47?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #47, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E048 — Drill 48: Deno Fresh vs Node Next

Scenario: Deno Fresh vs Node Next — runtime politics in org. (variation 48: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #48?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #48, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E049 — Drill 49: Mobile later: shared types between server and web via monorepo.

Scenario: Mobile later: shared types between server and web via monorepo. (variation 49: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #49?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #49, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E050 — Drill 50: AI codegen churn: conventions reduce prompt surface area.

Scenario: AI codegen churn: conventions reduce prompt surface area. (variation 50: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #50?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #50, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E051 — Drill 51: Vue enterprise chooses between Nuxt and SPA + separate API.

Scenario: Vue enterprise chooses between Nuxt and SPA + separate API. (variation 51: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #51?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #51, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E052 — Drill 52: Content-heavy marketing site picks Astro + React islands.

Scenario: Content-heavy marketing site picks Astro + React islands. (variation 52: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #52?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #52, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E053 — Drill 53: Team loves file-based routing + loaders: Remix vs Next App Router.

Scenario: Team loves file-based routing + loaders: Remix vs Next App Router. (variation 53: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #53?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #53, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E054 — Drill 54: Edge-first latency goals steer toward Workers-compatible stacks.

Scenario: Edge-first latency goals steer toward Workers-compatible stacks. (variation 54: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #54?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #54, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E055 — Drill 55: Hiring pool in region skews React

Scenario: Hiring pool in region skews React — framework choice as talent strategy. (variation 55: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #55?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #55, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E056 — Drill 56: TanStack Router + Start ecosystem maturity question in 2026.

Scenario: TanStack Router + Start ecosystem maturity question in 2026. (variation 56: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #56?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #56, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E057 — Drill 57: SvelteKit adoption for smaller bundles

Scenario: SvelteKit adoption for smaller bundles — when credible? (variation 57: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #57?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #57, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E058 — Drill 58: Deno Fresh vs Node Next

Scenario: Deno Fresh vs Node Next — runtime politics in org. (variation 58: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #58?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #58, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E059 — Drill 59: Mobile later: shared types between server and web via monorepo.

Scenario: Mobile later: shared types between server and web via monorepo. (variation 59: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #59?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #59, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E060 — Drill 60: AI codegen churn: conventions reduce prompt surface area.

Scenario: AI codegen churn: conventions reduce prompt surface area. (variation 60: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #60?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #60, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E061 — Drill 61: Vue enterprise chooses between Nuxt and SPA + separate API.

Scenario: Vue enterprise chooses between Nuxt and SPA + separate API. (variation 61: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #61?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #61, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E062 — Drill 62: Content-heavy marketing site picks Astro + React islands.

Scenario: Content-heavy marketing site picks Astro + React islands. (variation 62: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #62?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #62, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E063 — Drill 63: Team loves file-based routing + loaders: Remix vs Next App Router.

Scenario: Team loves file-based routing + loaders: Remix vs Next App Router. (variation 63: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #63?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #63, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E064 — Drill 64: Edge-first latency goals steer toward Workers-compatible stacks.

Scenario: Edge-first latency goals steer toward Workers-compatible stacks. (variation 64: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #64?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #64, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E065 — Drill 65: Hiring pool in region skews React

Scenario: Hiring pool in region skews React — framework choice as talent strategy. (variation 65: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #65?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #65, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E066 — Drill 66: TanStack Router + Start ecosystem maturity question in 2026.

Scenario: TanStack Router + Start ecosystem maturity question in 2026. (variation 66: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #66?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #66, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E067 — Drill 67: SvelteKit adoption for smaller bundles

Scenario: SvelteKit adoption for smaller bundles — when credible? (variation 67: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #67?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #67, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E068 — Drill 68: Deno Fresh vs Node Next

Scenario: Deno Fresh vs Node Next — runtime politics in org. (variation 68: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #68?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #68, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E069 — Drill 69: Mobile later: shared types between server and web via monorepo.

Scenario: Mobile later: shared types between server and web via monorepo. (variation 69: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #69?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #69, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E070 — Drill 70: AI codegen churn: conventions reduce prompt surface area.

Scenario: AI codegen churn: conventions reduce prompt surface area. (variation 70: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #70?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #70, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E071 — Drill 71: Vue enterprise chooses between Nuxt and SPA + separate API.

Scenario: Vue enterprise chooses between Nuxt and SPA + separate API. (variation 71: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #71?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #71, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E072 — Drill 72: Content-heavy marketing site picks Astro + React islands.

Scenario: Content-heavy marketing site picks Astro + React islands. (variation 72: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #72?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #72, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E073 — Drill 73: Team loves file-based routing + loaders: Remix vs Next App Router.

Scenario: Team loves file-based routing + loaders: Remix vs Next App Router. (variation 73: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #73?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #73, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E074 — Drill 74: Edge-first latency goals steer toward Workers-compatible stacks.

Scenario: Edge-first latency goals steer toward Workers-compatible stacks. (variation 74: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #74?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #74, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E075 — Drill 75: Hiring pool in region skews React

Scenario: Hiring pool in region skews React — framework choice as talent strategy. (variation 75: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #75?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #75, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E076 — Drill 76: TanStack Router + Start ecosystem maturity question in 2026.

Scenario: TanStack Router + Start ecosystem maturity question in 2026. (variation 76: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #76?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #76, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E077 — Drill 77: SvelteKit adoption for smaller bundles

Scenario: SvelteKit adoption for smaller bundles — when credible? (variation 77: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #77?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #77, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E078 — Drill 78: Deno Fresh vs Node Next

Scenario: Deno Fresh vs Node Next — runtime politics in org. (variation 78: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #78?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #78, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E079 — Drill 79: Mobile later: shared types between server and web via monorepo.

Scenario: Mobile later: shared types between server and web via monorepo. (variation 79: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #79?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #79, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E080 — Drill 80: AI codegen churn: conventions reduce prompt surface area.

Scenario: AI codegen churn: conventions reduce prompt surface area. (variation 80: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #80?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #80, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E081 — Drill 81: Vue enterprise chooses between Nuxt and SPA + separate API.

Scenario: Vue enterprise chooses between Nuxt and SPA + separate API. (variation 81: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #81?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #81, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E082 — Drill 82: Content-heavy marketing site picks Astro + React islands.

Scenario: Content-heavy marketing site picks Astro + React islands. (variation 82: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #82?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #82, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E083 — Drill 83: Team loves file-based routing + loaders: Remix vs Next App Router.

Scenario: Team loves file-based routing + loaders: Remix vs Next App Router. (variation 83: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #83?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #83, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E084 — Drill 84: Edge-first latency goals steer toward Workers-compatible stacks.

Scenario: Edge-first latency goals steer toward Workers-compatible stacks. (variation 84: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #84?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #84, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E085 — Drill 85: Hiring pool in region skews React

Scenario: Hiring pool in region skews React — framework choice as talent strategy. (variation 85: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #85?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #85, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E086 — Drill 86: TanStack Router + Start ecosystem maturity question in 2026.

Scenario: TanStack Router + Start ecosystem maturity question in 2026. (variation 86: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #86?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #86, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E087 — Drill 87: SvelteKit adoption for smaller bundles

Scenario: SvelteKit adoption for smaller bundles — when credible? (variation 87: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #87?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #87, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E088 — Drill 88: Deno Fresh vs Node Next

Scenario: Deno Fresh vs Node Next — runtime politics in org. (variation 88: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #88?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #88, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E089 — Drill 89: Mobile later: shared types between server and web via monorepo.

Scenario: Mobile later: shared types between server and web via monorepo. (variation 89: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #89?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #89, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E090 — Drill 90: AI codegen churn: conventions reduce prompt surface area.

Scenario: AI codegen churn: conventions reduce prompt surface area. (variation 90: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #90?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #90, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E091 — Drill 91: Vue enterprise chooses between Nuxt and SPA + separate API.

Scenario: Vue enterprise chooses between Nuxt and SPA + separate API. (variation 91: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #91?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #91, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E092 — Drill 92: Content-heavy marketing site picks Astro + React islands.

Scenario: Content-heavy marketing site picks Astro + React islands. (variation 92: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #92?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #92, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E093 — Drill 93: Team loves file-based routing + loaders: Remix vs Next App Router.

Scenario: Team loves file-based routing + loaders: Remix vs Next App Router. (variation 93: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #93?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #93, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E094 — Drill 94: Edge-first latency goals steer toward Workers-compatible stacks.

Scenario: Edge-first latency goals steer toward Workers-compatible stacks. (variation 94: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #94?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #94, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E095 — Drill 95: Hiring pool in region skews React

Scenario: Hiring pool in region skews React — framework choice as talent strategy. (variation 95: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #95?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #95, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E096 — Drill 96: TanStack Router + Start ecosystem maturity question in 2026.

Scenario: TanStack Router + Start ecosystem maturity question in 2026. (variation 96: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #96?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #96, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E097 — Drill 97: SvelteKit adoption for smaller bundles

Scenario: SvelteKit adoption for smaller bundles — when credible? (variation 97: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #97?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #97, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E098 — Drill 98: Deno Fresh vs Node Next

Scenario: Deno Fresh vs Node Next — runtime politics in org. (variation 98: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #98?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #98, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E099 — Drill 99: Mobile later: shared types between server and web via monorepo.

Scenario: Mobile later: shared types between server and web via monorepo. (variation 99: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #99?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #99, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E100 — Drill 100: AI codegen churn: conventions reduce prompt surface area.

Scenario: AI codegen churn: conventions reduce prompt surface area. (variation 100: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #100?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #100, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E101 — Drill 101: Vue enterprise chooses between Nuxt and SPA + separate API.

Scenario: Vue enterprise chooses between Nuxt and SPA + separate API. (variation 101: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #101?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #101, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E102 — Drill 102: Content-heavy marketing site picks Astro + React islands.

Scenario: Content-heavy marketing site picks Astro + React islands. (variation 102: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #102?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #102, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E103 — Drill 103: Team loves file-based routing + loaders: Remix vs Next App Router.

Scenario: Team loves file-based routing + loaders: Remix vs Next App Router. (variation 103: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #103?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #103, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E104 — Drill 104: Edge-first latency goals steer toward Workers-compatible stacks.

Scenario: Edge-first latency goals steer toward Workers-compatible stacks. (variation 104: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #104?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #104, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy

E105 — Drill 105: Hiring pool in region skews React

Scenario: Hiring pool in region skews React — framework choice as talent strategy. (variation 105: assume 2026 maintenance expectations—security patches, LTS Node, and supply-chain scanning in CI.)

Prompt: What architectural decision do you document, and what measurable outcome validates it for case #105?

Model answer: I separate product goals (time-to-market, SEO, offline, compliance) from organizational constraints (skills, existing services, cloud contracts). I propose the smallest vertical slice through the stack (UI → server → persistence) and measure lead time, defect rate, and p95 latency for that slice. For drill #105, I call out risks (coupling, vendor APIs, unclear ownership) and mitigations (module boundaries, ADRs, hexagonal ports on the server). I avoid treating any framework as magic—it still needs engineering discipline.

Landscape checklist (example)
- Primary UI library (React/Vue/Svelte)
- Router + data loading story
- Deploy target (Node server / serverless / edge)
- Auth + session story
- Asset + rendering strategy