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.

An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models

01Result

alibaba/ROLL ↗

alibaba/ROLL AI coding statistics: 4.2%

of 118 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate

4.2% agent · top contributor 40%4 contributors

team

A small group is using agents. Adoption has spread beyond one person but is not project-wide.

agent commits

113

other considered commits

agent contributors

40%

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

5assisted

0autonomous

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: 9.1%. Bars are scaled to that peak, not to 100%.

Which agents

Agent	Vendor	Commits	Share
Claude Code	Anthropic	4	3.4%
Cursor Agent	Anysphere	1	0.8%

03Evidence

Inspect the matches

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

Matched commit samples

b39681bf on GitHubremove IPA config yaml not needed for OpenReward integrationClaude Code
6e1a5df9 on GitHubrevert agent_native_env_manager.py to upstream versionClaude Code
bd17364f on GitHubfeat: add reward model cluster mode for LLM-as-judge in RLVR pipelineClaude Code
26115422 on GitHubAdd support for ROCm 7.2 and PyTorch 2.10Cursor Agent

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	118
Merge commits removed	−0
CI / dependency bots removed	−0
Considered	118

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 →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 alibaba/ROLL

Scan another repository

Try

Month	Agent share	Considered commits
2026-02	9.1%	11
2026-03	4.8%	62
2026-04	0%	5
2026-05	4.5%	22
2026-06	0%	10
2026-07	0%	4
2026-08	0%	4