CRBugBench: Carnegie Mellon and Microsoft benchmark tests AI code review agents on known bugs
Overview
Carnegie Mellon and Microsoft researchers built CRBugBench, a benchmark of 1,800 code review tasks where each pull request introduced a bug that humans confirmed and fixed.
The best agent tested, claude-opus-5 with copilot-cli, caught 71.9% of bugs within its top five comments, according to a paper reported by Rohan Paul on X. The same report says that rate rose from 47.7% for opus-4.6 five months earlier.
The paper concludes that this is still too few bugs for AI to remove human reviewers, and performance dropped on one company's private repositories, where bugs more often need project context.
Written by AI from the articles below · updated Oct 13, 12:22 PM ET
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Rohan Paul@rohanpaul_aiXCRBugBench finds the best code review agent catches 71.9% of known bugs in its top five commentsAICarnegie Mellon and Microsoft researchers built CRBugBench, a benchmark of 1,800 code review tasks where each pull request introduced a bug that humans confirmed and fixed. The best agent, claude-opus-5 with copilot-cli, caught 71.9% of bugs in its top five comments, up from 47.7% for opus-4.6 five months earlier. Performance dropped on one company's private repos, where bugs more often need project context.

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