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44.4%
of 1,887 commits were committed by an AI agent — a floor, not an estimate
44.4% agent · top contributor 98.8%9 contributors
individual

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

838
agent commits
1,049
human commits
9
agent contributors
98.8%
largest contributor

Assisted or autonomous

838assisted
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: 98.9%. Bars are scaled to that peak, not to 100%.

Which agents

Claude CodeAnthropic83844.4%

Verify it yourself

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

  • be808929fix: template-mode checks carrier baselines and mirror text targets; transClaude Code
  • f58f846brefactor: Type A mirror becomes a tool publication path with a factual speClaude Code
  • 6627d92bprompts: Stage 1 keeps the goal, not a template blackout; Create Template Claude Code

What was excluded

Commits in window1,915
Merge commits removed−28
CI / dependency bots removed−0
Considered1,887

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 hugohe3/ppt-master

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