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.

Agentic RL Training at Scale

01Result

PrimeIntellect-ai/prime-rl ↗

PrimeIntellect-ai/prime-rl AI coding statistics: 47.6%

of 945 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate

47.6% agent · top contributor 54%24 contributors

team

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

450

agent commits

495

other considered commits

agent contributors

54%

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

450assisted

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

Agent-attributed commit share by month
Month	Agent share	Considered commits
2026-01	25%	4
2026-02	35.8%	134
2026-03	46.7%	137
2026-04	52.2%	115
2026-05	52.7%	131
2026-06	44.6%	101
2026-07	52.6%	137
2026-08	52.7%	146
2026-09	35%	40

Peak month: 52.7%. Bars are scaled to that peak, not to 100%.

Which agents

Agent	Vendor	Commits	Share
Claude Code	Anthropic	416	44%
Cursor Agent	Anysphere	40	4.2%
OpenAI Codex	OpenAI	2	0.2%
GitHub Copilot	GitHub	1	0.1%

03Evidence

Inspect the matches

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

Matched commit samples

9f4eef81 on GitHubperf(optim): reuse pinned CPU buffers in CPUOffloadOptimizer (#3552)Claude Code
1d9ab255 on GitHubfix(docker): drop removed gpt-oss extra from uv sync (#3549)Claude Code
e0886c15 on GitHubchore(trainer): unify context-parallel setup across models (#3533)Claude Code
055f62ca on GitHubchore(rl): add message to multimodal packing assert (#3117)Cursor Agent
8dcf55ac on GitHubfeat(trainer): use seq_lens as the packed-sample boundary contract (#3032)Cursor Agent
188192ce on GitHubfix(qwen3.5): require FLA for DeltaNet (#3063)Cursor Agent
7089ba1e on GitHubfeat: vf v1 <> nano bridge (#2742)OpenAI Codex
8dfe8734 on GitHubFix routed SLURM inference DP rank client config (#2830)OpenAI Codex
77af0375 on GitHubIPO config (#2798)GitHub 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	945
Merge commits removed	−0
CI / dependency bots removed	−0
Considered	945

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 →OpenAI Codex commitsBrowse repositories with detected OpenAI Codex 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 PrimeIntellect-ai/prime-rl

Scan another repository

Try