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.

AI Skills, MCP Tools, and CLI for Unity Engine. Full AI develop and test loop. Use cli for quick setup. Efficient token usage, advanced tools. Any C# method may be turned into a tool by a single line. Works with Claude Code, Gemini, Copilot, Cursor and any other absolutely for free.

01Result

IvanMurzak/Unity-MCP ↗

IvanMurzak/Unity-MCP AI coding statistics: 13.7%

of 813 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate

13.7% agent · top contributor 70.3%10 contributors

team

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

111

agent commits

702

other considered commits

agent contributors

70.3%

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

90assisted

21autonomous

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: 82.4%. Bars are scaled to that peak, not to 100%.

Which agents

Agent	Vendor	Commits	Share
Claude Code	Anthropic	89	10.9%
GitHub Copilot	GitHub	23	2.8%

03Evidence

Inspect the matches

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

Matched commit samples

3821f688 on GitHubrefine: address code review findingsClaude Code
7f64dc19 on GitHubci: skip publish-test-results for chain dispatchesClaude Code
040c31d6 on GitHubrefine: address code review findingsClaude Code
15561f24 on GitHubAdd Zoo Code AI agent configurator (#790)GitHub Copilot
dc6b4d19 on GitHubAdd verbose timing logs for Unity editor discovery (#735)GitHub Copilot
10ece460 on GitHubfix: scalable DLL conflict resolution for Unity 6.5+ (#649)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	885
Merge commits removed	−70
CI / dependency bots removed	−2
Considered	813

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 →C# AI coding statisticsCompare evidence across C# 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 IvanMurzak/Unity-MCP

Scan another repository

Try

Month	Agent share	Considered commits
2026-02	6.5%	308
2026-03	12.6%	214
2026-04	4.1%	49
2026-05	9.6%	83
2026-06	36.1%	61
2026-07	20%	65
2026-08	31.3%	16
2026-09	82.4%	17