Dataset: 2026-10-27-catalog-ai-v2
Ruleset: b2e8889c66f7
Scanned: 2026-10-27
Window: February–September 15, 2026

Catalog tracking observation. This repository is measured with the same fixed window and ruleset, but it is not part of the published benchmark or its aggregate claims.

A Next-Generation Training Engine Built for Ultra-Large MoE Models

01Result

InternLM/xtuner ↗

InternLM/xtuner AI coding statistics: 4.3%

of 485 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate

4.3% agent · top contributor 19%9 contributors

org-wide

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

agent commits

464

other considered commits

agent contributors

19%

largest contributor

02Drivers

What shapes this result

Mode, timing, and detected signatures show whether the result reflects broad adoption or one concentrated workflow.

Assisted or autonomous

16assisted

5autonomous

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

Peak month: 23.5%. Bars are scaled to that peak, not to 100%.

Which agents

Agent	Vendor	Commits	Share
Claude Code	Anthropic	13	2.7%
Cursor Agent	Anysphere	7	1.4%
GitHub Copilot	GitHub	1	0.2%

03Evidence

Inspect the matches

Public commit samples let you inspect the signatures behind the aggregate result.

Matched commit samples

90272aa1 on GitHub[Nit] Remove leftover check_gated_delta_rule_eager.py script (#1903)Claude Code
ff597371 on GitHubbuild(docker): install nvidia-nvshmem-cu12 conditionally before DEEP_EP whClaude Code
390ad558 on GitHub[Fix] Correct example script path in .dev_scripts/analyze_train_logs.py (#Claude Code
276341ee on GitHub[ci] ci/update glm5 ete thresholds (#2087)Cursor Agent
7d377424 on GitHubDeepgeem update dev (#2080)Cursor Agent
ccfd2f31 on GitHub[ci] add multi nodes case for rl (#2066)Cursor Agent
2b7bded6 on GitHubsupport Ray actor AgentLoop and move judger resource config into AgentLoopGitHub Copilot

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	487
Merge commits removed	−0
CI / dependency bots removed	−2
Considered	485

Bots are excluded from the denominator entirely. Agent attribution requires a literal supported signature; no code-style inference is used.

Continue exploring

Claude Code commitsBrowse repositories with detected Claude Code signatures →GitHub Copilot commitsBrowse repositories with detected GitHub Copilot signatures →Cursor Agent commitsBrowse repositories with detected Cursor Agent signatures →Python AI coding statisticsCompare evidence across Python repositories →GitHub AI commit analyzerInspect another repository with the same evidence model →

Reproduce this observation

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 InternLM/xtuner

Scan another repository

Try

Month	Agent share	Considered commits
2026-02	0%	35
2026-03	6%	84
2026-04	7.5%	40
2026-05	2.5%	158
2026-06	2.3%	88
2026-07	0%	21
2026-08	7.1%	42
2026-09	23.5%	17