Evaluating code review agents with ReviewBench

Langchain··Submitted by Mads Kristian Nylund
AI DevelopmentAI ToolsAI Evaluation

ReviewBench is a benchmark for evaluating code review agents, focusing on real issues raised in actual pull requests, and measures how well agents can reconstruct implicit system contracts from the surrounding code. It uses curated reviewer findings and evaluates coverage and precision, with coverage measuring whether an agent found the baseline issue and precision measuring the correctness of submitted findings. Current models still miss most curated findings, and a well-designed prompt can significantly improve agent performance.

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