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.

AudioMuse-AI uses sonic analysis to rediscover forgotten songs, uncover hidden connections in your music library, and generate intelligent playlists for Navidrome, Jellyfin, LMS, Lyrion, Emby and Plex: no metadata or external services required.

01Result

NeptuneHub/AudioMuse-AI ↗

NeptuneHub/AudioMuse-AI AI coding statistics: 10.4%

of 1,476 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate

10.4% agent · top contributor 42.5%7 contributors

team

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

153

agent commits

1,323

other considered commits

agent contributors

42.5%

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

151assisted

2autonomous

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: 24.5%. Bars are scaled to that peak, not to 100%.

Which agents

Agent	Vendor	Commits	Share
Claude Code	Anthropic	68	4.6%
GitHub Copilot	GitHub	62	4.2%
Gemini CLI	Google	23	1.6%

03Evidence

Inspect the matches

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

Matched commit samples

783463f9 on GitHubFix CI import error: add like_contains_pattern, the missing half of the esClaude Code
bced04eb on GitHubnavidrome security fixClaude Code
5ee01bd6 on GitHubFix setup wizardClaude Code
6b595764 on GitHubPotential fix for pull request finding 'CodeQL / Information exposure throGitHub Copilot
29c7a287 on GitHubPotential fix for pull request finding 'CodeQL / Clear-text logging of senGitHub Copilot
c961d58b on GitHubPotential fix for pull request finding 'CodeQL / Information exposure throGitHub Copilot
1d2a0667 on GitHubUpdate docs/DEPLOYMENT.mdGemini CLI
c9056174 on GitHubUpdate README.mdGemini CLI
a54fc274 on GitHubUpdate README.mdGemini CLI

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	1,782
Merge commits removed	−301
CI / dependency bots removed	−5
Considered	1,476

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 →Gemini CLI commitsBrowse repositories with detected Gemini CLI 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 NeptuneHub/AudioMuse-AI

Scan another repository

Try

Month	Agent share	Considered commits
2026-02	14.7%	34
2026-03	11.5%	87
2026-04	17.9%	290
2026-05	24.5%	278
2026-06	4.3%	278
2026-07	2.2%	268
2026-08	0%	125
2026-09	0%	116