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.

IoT DC3 — Connect the Physical World to AI. An open-source Industrial IoT Runtime for Physical AI: 36 protocol drivers, edge-to-cloud data delivery, and an MCP tool gateway so AI agents act on devices in a safe, controllable, traceable loop.

01Result

pnoker/iot-dc3 ↗

pnoker/iot-dc3 AI coding statistics: 5.7%

of 1,502 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate

5.7% agent · top contributor 88.4%2 contributors

individual

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

agent commits

1,416

other considered commits

agent contributors

88.4%

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

86assisted

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: 27.4%. Bars are scaled to that peak, not to 100%.

Which agents

Agent	Vendor	Commits	Share
Claude Code	Anthropic	86	5.7%

03Evidence

Inspect the matches

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

Matched commit samples

11a8a8f7 on GitHubdocs(agents): split task-area conventions into dc3/agents guidesClaude Code
3fb43c42 on GitHubfeat(web): unify three-terminal control density and close audit defectsClaude Code
77b32e30 on GitHubbuild(dependabot): target main for update PRsClaude 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	1,572
Merge commits removed	−37
CI / dependency bots removed	−33
Considered	1,502

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 →Java AI coding statisticsCompare evidence across Java 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 pnoker/iot-dc3

Scan another repository

Try

Month	Agent share	Considered commits
2026-02	0%	2
2026-04	0%	77
2026-05	0%	696
2026-06	3.2%	343
2026-07	27.4%	164
2026-08	13.2%	174
2026-09	15.2%	46