Pulse
2026-09-18-v3.0
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.

High-performance engine for capturing, modifying, and converting DOM elements into any format.

01Result

zumerlab/snapdom ↗

zumerlab/snapdom AI coding statistics: 26.1%

of 779 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate
26.1% agent · top contributor 90.6%4 contributors
individual

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

203
agent commits
576
other considered commits
4
agent contributors
90.6%
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

201assisted
2autonomous

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

Agent-attributed commit share by month
MonthAgent shareConsidered commits
2026-020%2
2026-031.9%108
2026-0435.4%48
2026-0526.3%38
2026-0631.8%44
2026-0742.6%209
2026-0824.8%157
2026-0918.5%173

Peak month: 42.6%. Bars are scaled to that peak, not to 100%.

Which agents

AgentVendorCommitsShare
Claude CodeAnthropic20125.8%
GitHub CopilotGitHub20.3%

03Evidence

Inspect the matches

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

Matched commit samples

  • de4d35e8 on GitHubfix: un-concatenate the gitignore entry appended without a leading newlineClaude Code
  • fafd79e7 on GitHubbench: three-way capture bench on liquidGL's home (NaughtyDOM / v2 / v3)Claude Code
  • 5fb32d20 on GitHubdocs(engine): real-hardware timing and the third liquidGL claim, measuredClaude Code
  • 246a4c43 on GitHubfeat: classify open issues by importance with priority labels and triage wGitHub Copilot
  • 46b302e7 on GitHubInitial planGitHub 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 window845
Merge commits removed−47
CI / dependency bots removed−19
Considered779

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 →JavaScript AI coding statisticsCompare evidence across JavaScript 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 zumerlab/snapdom

Scan another repository

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