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Ming-Zhao Liang

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Review Jul 2026

Is Agentic Code Review Helpful? Mining Developers' Feedback to CodeRabbit Reviews in the Wild

An empirical study of agentic code reviews using CodeRabbit as a case study shows that agentic reviews receive mixed reception, and finds that lightweight learning-based methods achieve up to 76% F1 score, suggesting learnable patterns exist between code reviews and their corresponding feedback.

Hong-Yi Lin, Mingzhao Liang, Patanamon Thongtanunam et al. · 1 citation

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