Unverified50% confidenceBenchmarkExact time
Microsoft's research indicates that review quality drops significantly for PRs with changes exceeding 200 lines.
1
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50%
Confidence
Long-term
Relevance
9/7/2026
First Seen
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Related Claims
UnverifiedAn empirical study by Microsoft Research based on data from millions of code reviews shows that when a changeset exceeds 400 lines, reviewer comment density drops significantly and defect escape rates rise noticeably.78% similarUnverifiedResearch indicates that the effective review capacity of a human reviewer for a single PR is approximately 200–400 lines of code, beyond which review quality declines significantly.73% similarVerifiedWhen a single code review exceeds 400 lines of code, the reviewer's defect detection rate drops sharply.73% similarUnverifiedResearch data shows that apps requesting more than 5 permissions see their installation conversion rate drop by approximately 30%.69% similarUnverifiedGoogle内部研究显示，当工具误报率超过10%时，开发者的采纳率会急剧下降68% similar
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