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HumanSignal/label-studio
4.9%
of 995 commits were committed by an AI agent — a floor, not an estimate
4.9% agent · top contributor 30.6%14 contributors
org-wide

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

49
agent commits
946
human commits
14
agent contributors
30.6%
largest contributor

Assisted or autonomous

49assisted
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: 16.7%. Bars are scaled to that peak, not to 100%.

Which agents

Claude CodeAnthropic292.9%
Cursor AgentAnysphere202%

Verify it yourself

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

  • c5b17ba6ci: PLT-1272: Resolve gitleaks version with an authenticated API call (#99Claude Code
  • 59333d58docs: add Dashboards for projects to LSE 2.36.0 release notes (#9936)Claude Code
  • d128fb76feat: UTC-1260: Payments: Manual batchesClaude Code
  • 13f981a6docs: UTC-1171: Document full and flexible pauses (#9929)Cursor Agent
  • 6db5e731docs: UTC-1188: Release new annotator evaluation metric to GA and update dCursor Agent
  • 1a99b9d6docs: fix export disable env var in 2.34 notes (#9833)Cursor Agent

What was excluded

Commits in window1,120
Merge commits removed0
CI / dependency bots removed125
Considered995

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 HumanSignal/label-studio

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