Pulse
2026-09-18-v3.0
Dataset
2026-09-18-v3.0
Ruleset
b2e8889c66f7
Scanned
2026-09-16
Window
February–September 15, 2026
Local to this browser
virgiliojr94/book-to-skill ↗

virgiliojr94/book-to-skill AI coding statistics: 32.6%

of 172 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate
32.6% agent · top contributor 44.6%11 contributors
org-wide

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

56
agent commits
116
other considered commits
11
agent contributors
44.6%
largest contributor

What shapes this result

Mode, timing, and detected signatures show whether the result reflects broad adoption or one concentrated workflow.

Assisted or autonomous

56assisted
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. Across the whole index, 96% of agent commits are assisted.

Agent share by month

Agent-attributed commit share by month
MonthAgent shareConsidered commits
2026-04100%4
2026-0542.9%14
2026-0641.1%56
2026-075.6%18
2026-0827%74
2026-0933.3%6

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

Which agents

AgentVendorCommitsShare
Claude CodeAnthropic4526.2%
GitHub CopilotGitHub105.8%
Cursor AgentAnysphere10.6%

Inspect the matches

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

Matched commit samples

  • 349dc436 on GitHubfeat(skill): default generated skills to ~/.agents/skills with Claude CodeClaude Code
  • 7bcfcd52 on GitHubfix(config): give each run its own workdir so concurrent extractions cannoClaude Code
  • 903d102f on GitHubtest(security): skip POSIX permission assertions on Windows (#155)Claude Code
  • 6ea000bd on GitHubPotential fix for pull request findingGitHub Copilot
  • 7398f33a on GitHubdocs: update README with book type question, Docling option and benchmarkGitHub Copilot
  • 3a489cff on GitHubfeat: ask book type before extraction to choose pdftotext vs DoclingGitHub Copilot
  • a6cad12d on GitHubdocs: add Simplified Chinese README (#204)Cursor Agent

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 window183
Merge commits removed−3
CI / dependency bots removed−8
Considered172

Bots are excluded from the denominator entirely. Agent attribution requires a literal supported signature; no code-style inference is used.

Pinned to a source state

This observation names the repository state, release, and detector that produced it. Use these identifiers when reproducing or citing the result.

Dataset release
2026-09-18-v3.0
Scan date
2026-09-16
Ruleset
sha256:b2e8889c66f72c18a61839f0bf1a9f77b5481ba2def044dba33c797b2f2bdcae
Canonical repository
virgiliojr94/book-to-skill
Default branch
master
Resolved
2026-09-16
Measurement window
February–September 15, 2026
Download observation JSONDeterministic export · same values as this page

Position among comparable repositories

The cohort uses the same release and measurement window, then narrows to the repository’s ecosystem and removes low-activity observations.

CohortPython · 247 eligible repositories · at least 100 considered commits2026-09-18-v3.0 · February–September 15, 2026 · 145 of 392 ecosystem repositories excluded
Agent-commit share position86th percentile

Midrank percentile; equal shares split the tied positions.

Repository
32.6%
Cohort median
6.3%
Share rank
34 / 247
0th50th100th

Percentile = (repositories below + half of 1 tied repository) ÷ 247.

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 virgiliojr94/book-to-skill

Scan another repository