- Dataset
- 2026-10-27-catalog-ai-v2
- Ruleset
- b2e8889c66f7
- Scanned
- 2026-10-27
- Window
- February–September 15, 2026
VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo
01Result
ByteDance-Seed/VeOmni ↗ByteDance-Seed/VeOmni AI coding statistics: 9.3%
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 |
|---|---|---|
| 2026-02 | 0% | 48 |
| 2026-03 | 5.6% | 71 |
| 2026-04 | 3.7% | 54 |
| 2026-05 | 3.1% | 65 |
| 2026-06 | 5.9% | 34 |
| 2026-07 | 8.5% | 59 |
| 2026-08 | 32.1% | 53 |
| 2026-09 | 20% | 35 |
Peak month: 32.1%. Bars are scaled to that peak, not to 100%.
Which agents
| Agent | Vendor | Commits | Share |
|---|---|---|---|
| Cursor Agent | Anysphere | 30 | 7.2% |
| Claude Code | Anthropic | 7 | 1.7% |
| Gemini CLI | 2 | 0.5% |
03Evidence
Inspect the matches
Public commit samples let you inspect the signatures behind the aggregate result.
Matched commit samples
d20513fbon GitHub[BREAKING][ckpt, lora, docs] feat: split the checkpoint step directory by Cursor Agent787be788on GitHub[BREAKING][ckpt, trainer] refactor: extract ModelCheckpointManager and sliCursor Agente6c46a9aon GitHub[BREAKING][dist, trainer] refactor: build ParallelState from AcceleratorCoCursor Agent1f91f806on GitHubReplace deprecated v2.ToTensor() with v2.ToImage() + v2.ToDtype(scale=TrueClaude Code7c38f425on GitHub[data] feat: add data-pipeline dry-run script (tasks/data_sim.py) (#865)Claude Code8fb56e49on GitHub[data] feat: align StatefulDataLoader snapshot frequency to save_steps (#8Claude Code77d8287don GitHub[model] feat: support dit trainer & wan e2e training (#570)Gemini CLI153c8ec0on GitHub[data, model] fix: Fix Qwen3OmniMoE audio dummy input shape (#550)Gemini CLI
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 | 419 |
| Merge commits removed | −0 |
| CI / dependency bots removed | −0 |
| Considered | 419 |
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 ByteDance-Seed/VeOmni