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Dao-AILab/flash-attention
3.9%
of 335 commits were committed by an AI agent — a floor, not an estimate
3.9% agent · top contributor 23.1%10 contributors
org-wide

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

13
agent commits
322
human commits
10
agent contributors
23.1%
largest contributor

Assisted or autonomous

13assisted
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: 12.5%. Bars are scaled to that peak, not to 100%.

Which agents

Claude CodeAnthropic92.7%
GitHub CopilotGitHub30.9%
Cursor AgentAnysphere10.3%

Verify it yourself

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

  • 3c2c6b31[CuTe, SM90] Fix swapped backward MMA layout and use 2-stage hdim256 confiClaude Code
  • d8dbfad5Fix `seqlen_k_loaded` treating a window bound of 0 as unbounded (sliding wClaude Code
  • c68c592f[CuTe, SM100] Sparse MLA bwd: don't scatter dK/dV at -1 sentinel indices (Claude Code
  • 59f01d6eBump AITER submodule to commit 3b2e6f4 (#2540)GitHub Copilot
  • 3da76cdb Build Fix: Update abi3 tag to cp310 and minimum python version to 3.10 (#GitHub Copilot
  • b46c5875[AMD ROCm] Fix NaN in FMHA BWD when seq_q=0 (#2421)GitHub Copilot
  • abaa8787[CUTE]Bump to Cutedsl (#2216)Cursor Agent

What was excluded

Commits in window335
Merge commits removed0
CI / dependency bots removed0
Considered335

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 Dao-AILab/flash-attention

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