- Dataset
- 2026-10-27-catalog-ai-v2
- Ruleset
- b2e8889c66f7
- Scanned
- 2026-10-27
- Window
- February–September 15, 2026
Enjoy the magic of Diffusion models!
01Result
modelscope/DiffSynth-Studio ↗modelscope/DiffSynth-Studio AI coding statistics: 3.8%
A small group is using agents. Adoption has spread beyond one person but is not project-wide.
02Drivers
What shapes this result
Mode, timing, and detected signatures show whether the result reflects broad adoption or one concentrated workflow.
Assisted or autonomous
Assisted — a developer’s identity authored the commit and the agent added itself as co-author. Autonomous — a bot identity authored the commit without a human identity attached.
Agent share by month
| Month | Agent share | Considered commits |
|---|---|---|
| 2026-02 | 4.3% | 47 |
| 2026-03 | 0% | 36 |
| 2026-04 | 0% | 20 |
| 2026-05 | 10.5% | 19 |
| 2026-06 | 6.7% | 30 |
| 2026-07 | 11.8% | 17 |
| 2026-08 | 2.7% | 73 |
| 2026-09 | 0% | 20 |
Peak month: 11.8%. Bars are scaled to that peak, not to 100%.
Which agents
| Agent | Vendor | Commits | Share |
|---|---|---|---|
| Gemini CLI | 7 | 2.7% | |
| Claude Code | Anthropic | 3 | 1.1% |
03Evidence
Inspect the matches
Public commit samples let you inspect the signatures behind the aggregate result.
Matched commit samples
c0202268on GitHubadd downloading tips (#1535)Gemini CLIc2a8020fon GitHubACE-Step Enhancement (#1491)Gemini CLId9340d87on GitHubsupport z-image-template (#1490)Gemini CLI1af4c261on GitHubSupport the LingBot-Video MoE refiner (two-stage high-resolution refinemenClaude Codee4b1b156on GitHubSupport LingBot-Video (MoE-30B-A3B) (#1545)Claude Code6e2b14bcon GitHubSupport LingBot-Video (Dense-1.3B) (#1539)Claude Code
04Method
What entered the denominator
The result begins with commit history, removes merges and routine automation, and reports literal agent signatures as a lower bound.
Exclusion ledger
| Commits in window | 303 |
| Merge commits removed | −41 |
| CI / dependency bots removed | −0 |
| Considered | 262 |
Bots are excluded from the denominator entirely. Agent attribution requires a literal supported signature; no code-style inference is used.
Continue exploring
Related coding-agent evidence
Run the same detector locally.
Deterministic signature matching; no code-style inference. Squash merges can remove trailers, so this result remains a measured floor.
npx qmmit-cli modelscope/DiffSynth-Studio