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: 50.5%. Bars are scaled to that peak, not to 100%.
Which agents
| Claude Code | Anthropic | 212 | 16.6% |
| Devin | Cognition | 9 | 0.7% |
| Cursor Agent | Anysphere | 4 | 0.3% |
| GitHub Copilot | GitHub | 4 | 0.3% |
Verify it yourself
Sample commits that matched. Every one links to GitHub — check the trailers.
86b250f3Add a Comparisons section covering 10 agent frameworks (#8260)Claude Code0c91425fInstall `strict-no-cover` only in the coverage job and authenticate CI's GClaude Code8c5838ddStop rebuilding unmanaged models in durable capability operations (#7972)Claude Coded55a2115Add `list_prompts` and `get_prompt` functionality to `McpServer` (#3889)Devinf0b19471Add anthropic speed, `fast` mode for opus 4.6 (#4300)Devin3b8246a7bug: Warn about Azure OpenAI completions file-incompatibility (#4048)Devin86b250f3Add a Comparisons section covering 10 agent frameworks (#8260)Cursor Agentb6798f7efeat(openrouter): add `CachePoint` and prompt caching support (#4604)Cursor Agentf0b19471Add anthropic speed, `fast` mode for opus 4.6 (#4300)Cursor Agentb25c8b3bdocs(models): show how to inspect model capabilities via `model.profile` (GitHub Copilot4e50e598Reject duplicate deferred tool call IDs (#6241)GitHub Copilot666bfcba[docs] Add reference for third-party agent skills capabilities in Coding AGitHub Copilot
What was excluded
| Commits in window | 1,342 |
| Merge commits removed | −2 |
| CI / dependency bots removed | −62 |
| Considered | 1,278 |
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 pydantic/pydantic-ai