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ReviewBench

Assess

Tools

An open benchmark for evaluating AI code review agents on real pull requests.

Why it's here

Placed in Assess: 1 article(s) of evidence from 2 source(s), led by framework updates, with 1 in the last 30 days. Confidence 32%.

Evidence (1)

  • 7GitHub Blog·10/5/2026framework_update
    GitHub launches ReviewBench for AI code review evaluation

    GitHub introduced ReviewBench, an open benchmark for evaluating AI code review systems on realistic pull requests. It uses a multi-source golden set, standardized scoring, and severity and category labels to better compare precision, recall, and tradeoffs across reviewers. GitHub says the benchmark has already improved offline evaluation of Copilot code review and better reflects production outcomes.