Story · arXiv

Who Finishes the Job? A Study of Follow-Up Fixes and Commit Authorship on AI Coding Agent Pull Requests (arXiv)

paper · Story page

6,774 merged pull requests from Codex, Copilot, Devin, Cursor and Claude Code, followed into their later fixes against 5,044 human pull requests from the same repositories. The agent ones draw verified follow-up fixes at 1.62 times the odds.

In plain words

  • A study found that software changes from artificial intelligence assistants received later fixes more often than changes from people.
  • Researchers compared 6,774 changes from assistants with 5,044 from people after those changes were added to the same software projects.
  • Human reviewers and an artificial intelligence system checked which later changes actually repaired that earlier work.
  • For software teams, adding changes from these assistants to a project may still leave repair work to do.

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