Research #
- AI vs Human Code Generation Report (CodeRabbit) — First quantified vendor dataset found for this topic: analyzed 470 GitHub PRs (320 AI-co-authored, 150 human-only) and found AI-generated PRs carry 1.7x more issues overall (10.83 vs. 6.45 per PR), with logic/correctness errors 75% more common, security vulnerabilities up to 2.74x higher, and ~8x more excessive I/O operations (performance regressions). Attributes the gap to AI lacking implicit grasp of local business logic and repository idioms that humans infer intuitively — the vendor evidence behind the “reviewers systematically miss AI’s failure modes” claim already tracked qualitatively here.