Rethinking Code Review in the Age of AI: A Vision for Agentic Code Review
Code review has evolved for decades, from informal peer checking to today's pull request (PR) workflows, yet it remains a largely manual and cognitively demanding process. The rise of Artificial Intelligence (AI) coding assistants has intensified this challenge: while these tools increase code production velocity, they also expand the volume of code requiring review, turning code review into a growing bottleneck. Current AI support in code review remains fragmented, with tools focusing on isolated tasks such as reviewer recommendation, PR description generation, or comment suggestion rather than the end-to-end PR review workflow. We address this gap by treating review effectiveness as an ...
| Authors | Hüseyin Özgür Kamalı, Erdem Tuna, Vahid Haratian et al. |
|---|---|
| Primary category | cs.SE |
| Published | 17 May 2026 |
| Last updated at source | 5 June 2026 |
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