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.

PyTorch building blocks for the OLMo ecosystem

01Result

allenai/Olmo-core ↗

allenai/Olmo-core AI coding statistics: 31%

of 71 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate

Too little recent activity to publish. Only 71 commits landed in this window, so the percentage is noisy. Repositories below 100 are excluded from the index for this reason.

31% agent · top contributor 45.5%10 contributors

org-wide

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

agent commits

other considered commits

agent contributors

45.5%

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

22assisted

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

Which agents

Agent	Vendor	Commits	Share
Claude Code	Anthropic	21	29.6%
Cursor Agent	Anysphere	1	1.4%
GitHub Copilot	GitHub	1	1.4%

03Evidence

Inspect the matches

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

Matched commit samples

bbe94735 on GitHubCaleb/kda cute kernels (#863)Claude Code
f726f961 on GitHubAdd the OLMoDDP fused MoE / expert-parallel training stack (#844)Claude Code
fa6c5014 on GitHubAdd max_checkpoints to limit permanent checkpoint retention (#694)Claude Code
9aa3280f on GitHubAdd Qwen3.5 model support (0.8B, 4B, 9B, 27B) (#684)Cursor Agent
8be24cfb on GitHubLadder5 v2 (#610)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	71
Merge commits removed	−0
CI / dependency bots removed	−0
Considered	71

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 allenai/Olmo-core

Scan another repository

Try

Month	Agent share	Considered commits
2026-02	17.4%	23
2026-03	22.2%	9
2026-04	16.7%	6
2026-05	52.9%	17
2026-06	57.1%	7
2026-07	0%	2
2026-08	0%	5
2026-09	100%	2