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.

The collection of pre-trained, state-of-the-art AI models for ailia SDK

01Result

ailia-ai/ailia-models ↗

ailia-ai/ailia-models AI coding statistics: 54.8%

of 442 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate

54.8% agent · top contributor 61.2%2 contributors

individual

One person is driving this. The headline number reflects a single contributor's workflow, not a project-wide shift.

242

agent commits

200

other considered commits

agent contributors

61.2%

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

242assisted

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: 86.7%. Bars are scaled to that peak, not to 100%.

Which agents

Agent	Vendor	Commits	Share
Claude Code	Anthropic	242	54.8%

03Evidence

Inspect the matches

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

Matched commit samples

c9c5b0ba on GitHubrename ax_age_gender to ailia_age_genderClaude Code
25ab6cb4 on GitHubFix facemesh_v2 crash when multiple faces are detectedClaude Code
271561db on GitHubAdd ax_age_genderClaude Code

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	561
Merge commits removed	−118
CI / dependency bots removed	−1
Considered	442

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 →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 ailia-ai/ailia-models

Scan another repository

Try

Month	Agent share	Considered commits
2026-02	86.7%	15
2026-03	76%	125
2026-04	55.4%	56
2026-05	72.7%	11
2026-06	16.7%	84
2026-07	43.2%	44
2026-08	68.5%	89
2026-09	5.6%	18