Adoption is broad. Many contributors are committing agent-authored work, which is what a real organisational rollout looks like.
Assisted or autonomous
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
Peak month: 85.3%. Bars are scaled to that peak, not to 100%.
Which agents
| Claude Code | Anthropic | 153 | 38.3% |
| GitHub Copilot | GitHub | 121 | 30.3% |
| OpenAI Codex | OpenAI | 80 | 20.1% |
| Cursor Agent | Anysphere | 3 | 0.8% |
Verify it yourself
Sample commits that matched. Every one links to GitHub — check the trailers.
c6f197d3fix(dataset): size EXIF-oriented images the way they load (#2577)Claude Code3bb7a41ffix(detection): load v5 instance results returned as binary maps (#2576)Claude Code7c9bdb7ffix(key_points): place Inference key points by their skeleton index (#2575Claude Coded4132ce3test: fix ultralytics regression fixture lengthGitHub Copilot16482578fix(utils): stop image resizing from deriving a zero-sized target (#2564)GitHub Copilot7e9a98e6docs: convert fenced examples to doctests in detection/core.py (#2558)GitHub Copilot3bb7a41ffix(detection): load v5 instance results returned as binary maps (#2576)OpenAI Codex7c9bdb7ffix(key_points): place Inference key points by their skeleton index (#2575OpenAI Codexbc5cc906feat(metrics): add `MetricResult` ABC and aggregate comparison functions (OpenAI Codex9837c178feat(vlm): add Gemini 3.5 Flash parsing support (#2449)Cursor Agentcaf06052refactor: enrich `KeyPoints` with visibility mask, split confidence fieldsCursor Agent5a8e211aDocs/api design principles contributing (#2292)Cursor Agent
What was excluded
| Commits in window | 477 |
| Merge commits removed | −0 |
| CI / dependency bots removed | −78 |
| Considered | 399 |
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 roboflow/supervision