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python/cpython
10.7%
of 2,933 commits were committed by an AI agent — a floor, not an estimate
10.7% agent · top contributor 90.4%18 contributors
individual

One person is driving this. The headline number reflects a single contributor's workflow, not a project-wide shift.

314
agent commits
2,619
human commits
18
agent contributors
90.4%
largest contributor

Assisted or autonomous

314assisted
0autonomous

Assisted — a developer’s identity authored the commit and the agent added itself as co-author. The agent ran git commit during a working session, with a person there. Autonomous — a bot identity is the author, no human in the loop. Across the whole index, 93.7% of agent commits are assisted.

Agent share by month

Feb26
Mar26
Apr26
May26
Jun26
Jul26
Aug26
Sep26

Peak month: 31%. Bars are scaled to that peak, not to 100%.

Which agents

Claude CodeAnthropic31210.6%
GitHub CopilotGitHub20.1%

Verify it yourself

Sample commits that matched. Every one links to GitHub — check the trailers.

  • 1620e0f1gh-64862: Add the stop_exception parameter in iter() and aiter() (GH-15629Claude Code
  • c8ca336egh-69371: Fix pydoc for modules whose path contains undecodable bytes (GH-Claude Code
  • abf7a184gh-69370: Fix "python -m inspect --details" for unencodable paths (GH-1552Claude Code
  • 832d5571gh-152068: Reset PyREPL Colors on prompt finish (#152108)GitHub Copilot
  • c8799f13gh-149035: Modernize legacy Python patterns in `Doc/tutorial/stdlib2.rst` GitHub Copilot

What was excluded

Commits in window2,941
Merge commits removed3
CI / dependency bots removed5
Considered2,933

Bots are excluded from the denominator entirely. Counting dependabot as “AI-written code” is the fastest way to produce a meaningless number.

How this was measured

Measured over February–August 2026, cloned directly. Detection is deterministic string matching against signatures agents write about themselves — no heuristics, no style analysis. Merge commits and CI bots are excluded from the denominator. The figure is a floor: squash merges strip trailers, so real usage is higher. Contributor counts are aggregate — no individual is named.

Run it yourself: npx qmmit-cli python/cpython

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