AI-Generated Code Is Already Competing With Human Code — Daksh Gupta, Greptile

More than a quarter of the pull requests Greptile reviewed in April showed signs of being written largely or entirely by AI agents, up from under 1% a year earlier.

Daksh Gupta, co-founder of Greptile, analyzed more than a million pull requests a month from companies like NVIDIA, Coinbase and Scale to test a simple question: are fully vibe-coded PRs actually any good in enterprise codebases? He compares agent-written PRs (Codex, Claude Code, Devin, Cursor) with human-written ones on four measures: revert rates, revert rates by PR size, the severity of issues Greptile flags (P0/P1/P2), and how many review rounds it takes to get to a mergeable PR. On all four, agent code landed in the same range as human code, and humans were actually more likely to introduce P0 bugs. The differences show up in *how* each one fails: Claude is about 1.5x more likely than humans to introduce SQL injection, Devin is half as likely to cause auth bypasses, and N+1 queries are far more common from Cursor. Daksh also shares what this means for code review.

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