- Dataset
- 2026-10-27-catalog-ai-v2
- Ruleset
- b2e8889c66f7
- Scanned
- 2026-10-27
- Window
- February–September 15, 2026
Multimodal RL training framework for diffusion & omni models
01Result
verl-project/verl-omni ↗verl-project/verl-omni AI coding statistics: 19.9%
Adoption is broad. Many contributors are committing agent-authored work, which is what a real organisational rollout looks like.
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 |
|---|---|---|
| 2026-04 | 15.1% | 53 |
| 2026-05 | 24.4% | 45 |
| 2026-06 | 26.2% | 65 |
| 2026-07 | 17.5% | 57 |
| 2026-08 | 17.2% | 93 |
| 2026-09 | 20.3% | 64 |
Peak month: 26.2%. Bars are scaled to that peak, not to 100%.
Which agents
| Agent | Vendor | Commits | Share |
|---|---|---|---|
| Gemini CLI | 31 | 8.2% | |
| Cursor Agent | Anysphere | 23 | 6.1% |
| GitHub Copilot | GitHub | 19 | 5% |
| Claude Code | Anthropic | 7 | 1.9% |
| OpenAI Codex | OpenAI | 1 | 0.3% |
03Evidence
Inspect the matches
Public commit samples let you inspect the signatures behind the aggregate result.
Matched commit samples
ab5dfbafon GitHub[trainer] feat: add Qwen3-Omni multimodal DPO training (#269)Gemini CLI887a6b3eon GitHub[1/N][data, omni, tests] feat: add Omni-Preference offline MLLM DPO dataseGemini CLI18a99343on GitHub[rollout, diffusion] refactor: integrate Qwen-Image step execution into FlGemini CLI298eb0ccon GitHub[4/N][recipe, doc, trainer, rollout] feat: add Qwen-Image FlowGRPO v1 syncCursor Agent62f056d6on GitHub[doc] chore: add slides badge next to Slack in README (#579)Cursor Agent63668387on GitHub[recipe, doc] chore: default Wan2.2 DanceGRPO docs to v1 and deprecate v0 Cursor Agent4e16d84don GitHub[ci] chore: route bug reports to maintainers (#577)GitHub Copilotb92534c8on GitHub[2/N][reward] feat: add pointwise audio HTTP reward support (#528)GitHub Copilot33a2317bon GitHub[tests] feat: add Bagel PickScore LoRA e2e smoke (#379)GitHub Copilotdbf4ad2fon GitHub[trainer, tests, doc] feat: async teacher scheduling for diffusion OPD on Claude Code75f19f6don GitHub[trainer, tests] fix: union colocated reward output into the v1 diffusion Claude Codedc2c4b0bon GitHub[diffusion] feat: add Boogu-Image FlowGRPO support (T2I + Edit) (#332)Claude Code67d4e1c3on GitHub[trainer] fix: fix the rollout seed (#136)OpenAI Codex
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 | 379 |
| Merge commits removed | −2 |
| CI / dependency bots removed | −0 |
| Considered | 377 |
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 verl-project/verl-omni