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QuantConnect/Lean
26.3%
of 262 commits were committed by an AI agent — a floor, not an estimate
26.3% agent · top contributor 36.2%11 contributors
org-wide

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

69
agent commits
193
human commits
11
agent contributors
36.2%
largest contributor

Assisted or autonomous

69assisted
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: 58.8%. Bars are scaled to that peak, not to 100%.

Which agents

Claude CodeAnthropic6926.3%

Verify it yourself

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

  • f9107abdSurface the deployment details in the live read api client (#9794)Claude Code
  • 5b0c9975Rename the algorithm brokerage data to deployment details and add a helperClaude Code
  • 6eb38901Expose brokerage data to the algorithm and the live results (#9788)Claude Code

What was excluded

Commits in window262
Merge commits removed0
CI / dependency bots removed0
Considered262

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 QuantConnect/Lean

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