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OtterMind/Chat2DB
21.2%
of 727 commits were committed by an AI agent — a floor, not an estimate
21.2% agent · top contributor 66.9%4 contributors
team

A small group is using agents. Adoption has spread beyond one person but is not project-wide.

154
agent commits
573
human commits
4
agent contributors
66.9%
largest contributor

Assisted or autonomous

154assisted
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

Mar26
Apr26
May26
Jun26
Jul26
Aug26
Sep26

Peak month: 27.3%. Bars are scaled to that peak, not to 100%.

Which agents

Claude CodeAnthropic15421.2%

Verify it yourself

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

  • 379b092ffix(redis): reject null/none/unknown key types before emitting commandsClaude Code
  • cc4b3d83fix(redis): validate both key types before type-change check (#2437)Claude Code
  • 86ff3689fix(redis): guard RedisScriptExecutor.update against null key types (#2436Claude Code

What was excluded

Commits in window1,074
Merge commits removed347
CI / dependency bots removed0
Considered727

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 OtterMind/Chat2DB

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