31.2%

of 282 commits were committed by an AI agent — a floor, not an estimate

31.2% agent · top contributor 37.5%12 contributors

org-wide

Adoption is broad. Many contributors are committing agent-authored work, which is what a real organisational rollout looks like.

agent commits

194

human commits

agent contributors

37.5%

largest contributor

Assisted or autonomous

88assisted

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

Jan26

Feb26

Mar26

Apr26

May26

Jun26

Jul26

Aug26

Sep26

Peak month: 61.9%. Bars are scaled to that peak, not to 100%.

Which agents

Claude Code

Anthropic

31.2%

Verify it yourself

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

da0490fbdocs(agent_skills): rewrite README without em dashesClaude Code
36bde777fix(first-reader): escape verdict_lead/verdict_rest before HTML insertionClaude Code
2e6877e8docs(advisor-orchestrator-worker): new cover diagram for Fable 5.1, GPT-6 Claude Code

What was excluded

Commits in window	380
Merge commits removed	−98
CI / dependency bots removed	−0
Considered	282

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 Shubhamsaboo/awesome-llm-apps

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