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.

All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.

01Result

lightly-ai/lightly-train ↗

lightly-ai/lightly-train AI coding statistics: 10.3%

of 272 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate

10.3% agent · top contributor 42.9%5 contributors

team

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

agent commits

244

other considered commits

agent contributors

42.9%

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

28assisted

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	18	6.6%
GitHub Copilot	GitHub	10	3.7%

03Evidence

Inspect the matches

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

Matched commit samples

4f69a408 on GitHubfeat(transforms): expose ratio for random resized crop (#960)Claude Code
295f04f8 on GitHubfix(timm): map new timm 1.0.29 model families (#961)Claude Code
684e4aff on GitHubperf(tests): speed up unit test CI by fixing root causes (#954)Claude Code
c7604fd5 on GitHubdocs: EdgeCrafter LTDETR (#781)GitHub Copilot
fa79d87a on GitHubfeat: incorporate ECViT backbones into DINOv3 LTDETR (#778)GitHub Copilot
15c444de on GitHubfeat: add ECViT LTDETR backbone wrapper (#772)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	272
Merge commits removed	−0
CI / dependency bots removed	−0
Considered	272

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 lightly-ai/lightly-train

Scan another repository

Try

Month	Agent share	Considered commits
2026-02	0%	33
2026-03	0%	42
2026-04	3.8%	26
2026-05	21.4%	28
2026-06	16.4%	55
2026-07	6.6%	76
2026-08	54.5%	11
2026-09	100%	1