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.

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01Result

lycorp-jp/sim-use ↗

lycorp-jp/sim-use AI coding statistics: 22.6%

of 230 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate

22.6% agent · top contributor 59.6%5 contributors

team

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

agent commits

178

other considered commits

agent contributors

59.6%

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

52assisted

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: 41.9%. Bars are scaled to that peak, not to 100%.

Which agents

Agent	Vendor	Commits	Share
Claude Code	Anthropic	52	22.6%

03Evidence

Inspect the matches

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

Matched commit samples

f2ddcdf0 on GitHubci: build and unit-test the Linux target graphClaude Code
ad680294 on GitHubdocs: document the Linux build and remote adb serversClaude Code
f3d04137 on GitHubfeat: reach the bridge through a remote adb serverClaude 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	324
Merge commits removed	−91
CI / dependency bots removed	−3
Considered	230

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 →Swift AI coding statisticsCompare evidence across Swift 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 lycorp-jp/sim-use

Scan another repository

Try

Month	Agent share	Considered commits
2026-06	9.1%	11
2026-07	15.3%	144
2026-08	36.4%	44
2026-09	41.9%	31