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openai/codex
5.2%
of 6,926 commits were committed by an AI agent — a floor, not an estimate
5.2% agent · top contributor 26.8%52 contributors
org-wide

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

362
agent commits
6,564
human commits
52
agent contributors
26.8%
largest contributor

Assisted or autonomous

362assisted
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: 14.3%. Bars are scaled to that peak, not to 100%.

Which agents

OpenAI CodexOpenAI3595.2%
Claude CodeAnthropic30%

Verify it yourself

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

  • 1013295cfix: attribut network requests to the exact exec on linux (#29697)OpenAI Codex
  • 989f55defeat(network-proxy): experimental local credential broker (#28034)OpenAI Codex
  • 6db57689fix(config): address permission profile review follow-ups (#29479)OpenAI Codex
  • ef330efffeat(tui): Ctrl+O copy hotkey and harden copy-as-markdown behavior (#16966Claude Code
  • 359e17a8fix(tui): reduce startup and new-session latency (#17039)Claude Code
  • 0bd31dc3fix(tui): handle zellij redraw and composer rendering (#16578)Claude Code

What was excluded

Commits in window6,952
Merge commits removed0
CI / dependency bots removed26
Considered6,926

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 openai/codex

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