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modelscope/FunASR
1.3%
of 904 commits were committed by an AI agent — a floor, not an estimate
1.3% agent · top contributor 25%9 contributors
org-wide

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

12
agent commits
892
human commits
9
agent contributors
25%
largest contributor

Assisted or autonomous

12assisted
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
May26
Jun26
Jul26
Aug26
Sep26

Peak month: 33.3%. Bars are scaled to that peak, not to 100%.

Which agents

Claude CodeAnthropic70.8%
Gemini CLIGoogle50.6%

Verify it yourself

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

  • a2a9f67ctest(nano): make LoRA tests deterministic (#3459)Claude Code
  • 0738581ffeat(nano): support LoRA finetuning of the Qwen3 LLM (#3456)Claude Code
  • 036ed693fix(trainer): avoid KeyError when a checkpoint is saved at an unvalidated Claude Code
  • 33b04031fix: disable duplicate dynamic silence logic in DynamicStreamingVAD (#3240Gemini CLI
  • a3fb72e9feat(runtime): add sentence-level timestamps to WebSocket 2pass server (#2Gemini CLI
  • 4f343aa2fix(qwen3): stop masking dependency ImportErrors (#2860)Gemini CLI

What was excluded

Commits in window1,084
Merge commits removed180
CI / dependency bots removed0
Considered904

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 modelscope/FunASR

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