How do you know whether an AI code reviewer catches the issues that matter without adding noise?
ReviewBench is a new open benchmark shaped by analysis of 103.9M GitHub pull requests, with 219 PRs across 19 languages.
Bring your own code review agent, evaluate it, and submit your results ⬇️
https://t.co/YVa464lyfx
ReviewBench lets you measure whether an AI code reviewer catches meaningful issues without adding noise, using 219 PRs in 19 languages. You can run your own review AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → and submit results.
Terms in this piece · Glossary
benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
