Episode 2 — React Frontend Architecture NextJS / 2.16 — Performance Optimization in React

2.16 — Quick Revision: Performance Optimization in React

<< 2.16 Overview


One-page map

ToolFixesFails when
React.memoProp-stable expensive pure UIUnstable props/context updates
useMemoCostly derive / stable referencesDeps change every render / trivial work
useCallbackStable fn props / hook depsMissing deps / unnecessary indirection
lazy+SuspenseJS payload / route splittingWaterfalls / bad fallbacks
LighthouseLab guidance + auditsIgnores real-user distributions if alone
DevTools ProfilerRender/commit insightMisread without separating layout cost

Topic cheat sheets


Decision tree (narrative)

  1. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  2. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  3. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  4. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  5. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  6. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  7. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  8. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  9. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  10. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  11. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  12. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  13. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  14. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  15. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  16. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  17. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  18. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  19. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  20. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  21. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  22. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  23. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  24. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  25. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  26. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  27. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  28. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  29. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  30. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  31. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  32. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  33. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  34. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  35. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  36. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  37. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  38. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  39. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  40. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  41. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  42. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  43. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  44. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  45. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  46. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  47. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  48. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  49. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  50. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  51. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  52. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  53. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  54. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  55. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  56. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  57. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  58. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  59. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  60. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  61. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  62. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  63. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  64. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  65. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  66. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  67. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  68. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  69. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  70. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  71. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  72. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  73. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  74. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  75. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  76. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  77. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  78. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  79. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  80. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  81. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  82. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  83. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  84. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  85. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  86. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  87. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  88. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  89. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  90. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  91. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  92. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  93. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  94. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  95. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  96. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  97. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  98. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  99. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  100. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  101. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  102. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  103. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  104. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  105. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  106. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  107. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  108. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  109. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  110. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  111. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  112. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  113. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  114. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  115. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  116. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  117. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  118. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  119. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

  120. If users complain about slow first load, inspect bundle size + Lighthouse opportunities + server/TTFB; if they complain about interaction lag, start with Performance panel + INP thinking; if they complain about CPU fan on laptops, suspect long main-thread tasks.

Cheat 01

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 02

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 03

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 04

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 05

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 06

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 07

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 08

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 09

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 10

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 11

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 12

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 13

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 14

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 15

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 16

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 17

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 18

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 19

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 20

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 21

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 22

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 23

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 24

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 25

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 26

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 27

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 28

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 29

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 30

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 31

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 32

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 33

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 34

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 35

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 36

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 37

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 38

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 39

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 40

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 41

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 42

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 43

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 44

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 45

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 46

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 47

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 48

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 49

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 50

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 51

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 52

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 53

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 54

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 55

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 56

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 57

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 58

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 59

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 60

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 61

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 62

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 63

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 64

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 65

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 66

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 67

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 68

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 69

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 70

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 71

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 72

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 73

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 74

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 75

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 76

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 77

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 78

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 79

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 80

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 81

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 82

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 83

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 84

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 85

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 86

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 87

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 88

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 89

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 90

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 91

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 92

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 93

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 94

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 95

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 96

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 97

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 98

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 99

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 100

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 101

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 102

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 103

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 104

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 105

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 106

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 107

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 108

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 109

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 110

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 111

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 112

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 113

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 114

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 115

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 116

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 117

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 118

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 119

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Cheat 120

  • Measure: Profiler + Performance panel + Lighthouse/RUM.
  • Hypothesis: render vs layout vs network vs JS bundle.
  • Fix smallest structure: state locality → virtualization → memoization.
  • Prove: before/after metrics; watch for regressions in UX/a11y.

Self-check answers (spoken)

S001

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S002

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S003

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S004

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S005

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S006

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S007

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S008

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S009

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S010

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S011

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S012

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S013

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S014

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S015

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S016

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S017

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S018

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S019

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S020

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S021

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S022

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S023

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S024

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S025

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S026

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S027

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S028

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S029

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S030

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S031

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S032

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S033

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S034

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S035

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S036

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S037

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S038

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S039

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S040

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S041

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S042

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S043

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S044

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S045

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S046

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S047

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S048

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S049

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S050

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S051

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S052

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S053

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S054

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S055

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S056

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S057

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S058

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S059

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S060

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S061

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S062

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S063

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S064

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S065

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S066

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S067

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S068

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S069

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S070

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S071

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S072

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S073

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S074

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S075

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S076

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S077

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S078

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S079

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S080

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S081

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S082

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S083

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S084

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S085

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S086

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S087

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S088

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S089

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S090

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S091

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S092

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S093

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S094

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S095

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S096

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S097

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S098

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S099

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S100

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S101

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S102

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S103

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S104

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S105

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S106

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S107

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S108

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S109

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S110

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S111

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S112

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S113

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S114

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S115

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S116

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S117

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S118

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S119

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S120

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S121

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S122

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S123

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S124

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S125

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S126

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S127

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S128

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S129

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S130

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S131

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S132

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S133

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S134

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S135

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S136

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S137

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S138

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S139

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S140

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S141

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S142

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S143

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S144

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S145

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S146

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S147

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S148

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S149

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S150

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S151

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S152

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S153

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S154

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S155

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S156

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S157

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S158

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S159

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S160

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S161

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S162

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S163

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S164

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S165

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S166

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S167

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S168

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S169

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S170

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S171

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S172

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S173

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S174

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S175

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S176

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S177

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S178

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S179

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S180

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S181

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S182

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S183

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S184

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S185

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S186

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S187

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S188

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S189

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S190

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S191

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S192

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S193

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S194

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S195

Say aloud: ‘For problem class 3, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S196

Say aloud: ‘For problem class 4, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S197

Say aloud: ‘For problem class 5, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S198

Say aloud: ‘For problem class 0, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S199

Say aloud: ‘For problem class 1, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

S200

Say aloud: ‘For problem class 2, I would reproduce in a minimal app, record a 10s Profiler trace, rank offenders, confirm prop stability, then apply the narrowest fix and validate with a second trace.’

<< 2.16 Overview