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.

Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth. Grounded in 2025-2026 research on model laziness, underthinking and premature completion.

01Result

Leonxlnx/unlazy ↗

Leonxlnx/unlazy AI coding statistics: 41.5%

of 41 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate
Too little recent activity to publish. Only 41 commits landed in this window, so the percentage is noisy. Repositories below 100 are excluded from the index for this reason.
41.5% agent · top contributor 29.4%6 contributors
team

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

17
agent commits
24
other considered commits
6
agent contributors
29.4%
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

17assisted
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

Agent-attributed commit share by month
MonthAgent shareConsidered commits
2026-0842.5%40
2026-090%1

Peak month: 42.5%. Bars are scaled to that peak, not to 100%.

Which agents

AgentVendorCommitsShare
Claude CodeAnthropic1741.5%

03Evidence

Inspect the matches

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

Matched commit samples

  • 2655e8f4 on GitHubdocs(skill): sharpen SKILL.md prose (placeholders, verification layers, trClaude Code
  • 94265e5c on GitHubdocs(orchestration): state leaf/branch gate placement and add a PLAN dispaClaude Code
  • 03b592b3 on GitHubfix: warn when a literal path is silently read as an EXPECT regexClaude 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 window49
Merge commits removed−8
CI / dependency bots removed−0
Considered41

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 →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 Leonxlnx/unlazy

Scan another repository

Try