Code Review Agent Benchmark
Software engineering agents have shown significant promise in writing code. As AI agents permeate code writing, and generate huge volumes of code automatically -- the matter of code quality comes front and centre. As the automatically generated code gets integrated into huge code-bases -- the issue of code review and broadly quality assurance becomes important. In this paper, we take a fresh look at the problem and curate a code review dataset for AI agents to work with. Our dataset called c-CRAB (pronounced see-crab) can evaluate agents for code review tasks. Specifically given a pull-request (which could be coming from code generation agents or humans), if a code review agent produces a...
| Authors | Yuntong Zhang, Zhiyuan Pan, Imam Nur Bani Yusuf et al. |
|---|---|
| Primary category | cs.SE |
| Published | 24 March 2026 |
| Last updated at source | 7 April 2026 |
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