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walter201230/Python ↗
25.6%
of 117 commits were committed by an AI agent — a floor, not an estimate
25.6% agent · top contributor 66.7%2 contributors
individual

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

30
agent commits
87
human commits
2
agent contributors
66.7%
largest contributor

Assisted or autonomous

30assisted
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

Apr26
May26
Jul26
Sep26

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

Which agents

Claude CodeAnthropic3025.6%

Verify it yourself

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

  • abfd0ab6fix: 收尾 CI 剩余三处失败——Event 竞态加 timeout，两个 3.12+ 语法块加 skipClaude Code
  • 73e0e7d0fix: 让 example_runner CI 回绿——修 stdin 隔离、Queue 死锁与 class 笔误，67 个教学片段加 skip Claude Code
  • c91a9a00docs: 首页加「两个在线站点任选」，把互动版 learn-py.org 摆到第一屏Claude Code

What was excluded

Commits in window123
Merge commits removed−6
CI / dependency bots removed−0
Considered117

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 walter201230/Python

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