~/talk

ReviewDebt: a practical framework for scoring every pull request

slides:none on file

ReviewDebt introduces a deterministic score that computes review burden from five signal families — diff size and coupling, test-evidence delta, ownership spread, AI-authorship indicators, and evidence/rationale gaps — and outputs a CLI scanner report with reviewer minutes and concrete author actions. Examples: three side-by-side PRs (clean, high-debt, refactored) and a 90‑day scan over 524 PRs that sums to 228 senior reviewer hours and flags single-PR estimates up to 84 review hours; defaults, thresholds, and per-team weekly slopes are provided.

AI-written summary · about

  1. 0:00Review debt impact
  2. 3:32PR metrics are vanity
  3. 4:59Defining review debt and its compounding effects
  4. 6:01Five signal families
  5. 7:28Signal one: Dev size and coupling
  6. 8:10Signal two: Test evidence gap
  7. 9:15Signal three: Directory spread
  8. 9:56Signal four: AI authorship
  9. 11:22Signal five: Evidence gaps
  10. 12:25Combining signals into score
  11. 13:27Demo: Low review debt PR
  12. 14:51Demo: High review debt PR
  13. 16:20Demo: AI authored PR
  14. 17:23Cross-repo scan results
  15. 19:56Actionable steps for review debt
  16. 21:20Five steps to adopt framework
  17. 22:47Why a number matters
  18. 23:51Key takeaways and next steps
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