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.

A farm of real iPhones, run from your Mac. Open-source iOS device automation with live control, a Postgres-backed scheduler, and TikTok workflows. Self-hosted, Apache-2.0.

01Result

Git-Agni/prod-FARM-IOS-Core ↗

Git-Agni/prod-FARM-IOS-Core AI coding statistics: 91.2%

of 34 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate

Too little recent activity to publish. Only 34 commits landed in this window, so the percentage is noisy. Repositories below 100 are excluded from the index for this reason.

91.2% agent · top contributor 45.2%3 contributors

individual

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

agent commits

other considered commits

agent contributors

45.2%

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

31assisted

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: 93.5%. Bars are scaled to that peak, not to 100%.

Which agents

Agent	Vendor	Commits	Share
Claude Code	Anthropic	31	91.2%

03Evidence

Inspect the matches

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

Matched commit samples

4daceae4 on GitHubdocs(readme): point at /tiktok-iphone-farmClaude Code
efd5ead0 on GitHubdocs(readme): link the how-it-works writeupClaude Code
6c9773f5 on GitHubDashboard: sticky "iOS Farm / by Handler" top bar + Agniverse footerClaude 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	36
Merge commits removed	−2
CI / dependency bots removed	−0
Considered	34

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 →TypeScript AI coding statisticsCompare evidence across TypeScript 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 Git-Agni/prod-FARM-IOS-Core

Scan another repository

Try

Month	Agent share	Considered commits
2026-08	93.5%	31
2026-09	66.7%	3