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.

01Result

Tong89/smartNode ↗

Tong89/smartNode AI coding statistics: 32.6%

of 181 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate

32.6% agent · top contributor 5.1%24 contributors

org-wide

Adoption is broad. Many contributors are committing agent-authored work, which is what a real organisational rollout looks like.

agent commits

122

other considered commits

agent contributors

5.1%

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

59assisted

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.

Which agents

Agent	Vendor	Commits	Share
Claude Code	Anthropic	59	32.6%

03Evidence

Inspect the matches

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

Matched commit samples

088624a5 on GitHubfeat(physics): replace empirical ISL formula with laser ISL model in orbitClaude Code
e9f21f52 on GitHubfeat(comms): add laser ISL physics model (laser_isl.py)Claude Code
1b365f8e on GitHubfeat(frontend,backend): wire TimePlayback into App and add /api/snapshot_aClaude 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	281
Merge commits removed	−100
CI / dependency bots removed	−0
Considered	181

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 →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 Tong89/smartNode

Scan another repository

Try