6.7%

of 1,842 commits were committed by an AI agent — a floor, not an estimate

6.7% agent · top contributor 46%33 contributors

org-wide

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

124

agent commits

1,718

human commits

agent contributors

46%

largest contributor

Assisted or autonomous

124assisted

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: 13.5%. Bars are scaled to that peak, not to 100%.

Which agents

Claude Code	Anthropic	105	5.7%
GitHub Copilot	GitHub	15	0.8%
Cursor Agent	Anysphere	11	0.6%

Verify it yourself

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

a6b4cf90fix(assistant): preserve dependent choices and token limit resets (#15001)Claude Code
d5f0751bfix(deps): override shell-quote and websocket-driver in docs/ to patched vClaude Code
c08362cdfix(migrations): stop double-prefixing CHECK constraint names under the naClaude Code
da798a52feat(components): Add Code Agents (CodeAct agent and OpenDsStar agent) andGitHub Copilot
91972452fix: resolve ghosting issues in preload optimization (#12587)GitHub Copilot
2fa3d1c7feat: add langflow-sdk support to release workflow (#12679)GitHub Copilot
c3bfdb7dchore: back-merge release-1.12.0 into main (fast-forward only) (#14652)Cursor Agent
c2c15474feat(bundles): lfx-confluent bundle + watsonx.data components (IBM streamhCursor Agent
dce5e298feat: add OrcaRouter bundle component (#14549)Cursor Agent

What was excluded

Commits in window	1,914
Merge commits removed	−59
CI / dependency bots removed	−13
Considered	1,842

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 langflow-ai/langflow

Scan another repository

Try