Pulse
2026-09-18-v3.0
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.

Democratizing Reinforcement Learning for LLMs

01Result

rllm-org/rllm ↗

rllm-org/rllm AI coding statistics: 44.8%

of 328 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate
44.8% agent · top contributor 33.3%10 contributors
org-wide

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

147
agent commits
181
other considered commits
10
agent contributors
33.3%
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

147assisted
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
MonthAgent shareConsidered commits
2026-010%1
2026-0215.4%52
2026-0344.8%105
2026-0436.6%41
2026-0566%50
2026-0662.3%61
2026-0738.5%13
2026-0833.3%3
2026-090%2

Peak month: 66%. Bars are scaled to that peak, not to 100%.

Which agents

AgentVendorCommitsShare
Claude CodeAnthropic14644.5%
GitHub CopilotGitHub10.3%

03Evidence

Inspect the matches

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

Matched commit samples

  • 9beb6e0f on GitHubfeat(eval): add OrcaRouter as a named providerClaude Code
  • 2d9a1ed1 on GitHubfeat(fireworks): sync data.* ↔ rllm.data.* config namespaces (#801)Claude Code
  • a3d22b90 on GitHubfeat(tinker): surface optim-step metrics (e.g. grad norm) from the Tinker Claude Code
  • 103f49e3 on GitHubfix: crash on unmatched wildcard in RLLM_EXCLUDE and _str_to_int return tyGitHub 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 window361
Merge commits removed−33
CI / dependency bots removed−0
Considered328

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 →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 rllm-org/rllm

Scan another repository

Try