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 registry of publicly available datasets on AWS

01Result

awslabs/open-data-registry ↗

awslabs/open-data-registry AI coding statistics: 1.8%

of 784 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate

1.8% agent · top contributor 28.6%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

770

other considered commits

agent contributors

28.6%

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

14assisted

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: 5.3%. Bars are scaled to that peak, not to 100%.

Which agents

Agent	Vendor	Commits	Share
Claude Code	Anthropic	12	1.5%
GitHub Copilot	GitHub	1	0.1%
Cursor Agent	Anysphere	1	0.1%

03Evidence

Inspect the matches

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

Matched commit samples

0e8ab2a2 on GitHubAdd example notebook and Hugging Face demo to DynaCell DataAtWorkClaude Code
b2ba1243 on GitHubInclude Scigantic tutorial for OME-Zarr Open SciVis pageClaude Code
e57b07ec on GitHubUpdate DynaCell registry entry: paper title, authors, Biohub rename, schemClaude Code
4040e81a on GitHubPotential fix for pull request findingGitHub Copilot
5239a911 on GitHubPublish ovro-lwa-solar bucket details in registry listing.Cursor 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	1,306
Merge commits removed	−522
CI / dependency bots removed	−0
Considered	784

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 awslabs/open-data-registry

Scan another repository

Try

Month	Agent share	Considered commits
2026-02	5.3%	76
2026-03	0%	63
2026-04	3.6%	137
2026-05	1.1%	92
2026-06	1.9%	159
2026-07	0%	92
2026-08	1%	101
2026-09	0%	64