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.

Bonus materials, exercises, and example projects for our Python tutorials

01Result

realpython/materials ↗

realpython/materials AI coding statistics: 28.6%

of 119 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate

28.6% agent · top contributor 44.1%9 contributors

org-wide

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

agent commits

other considered commits

agent contributors

44.1%

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

34assisted

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: 72%. Bars are scaled to that peak, not to 100%.

Which agents

Agent	Vendor	Commits	Share
Claude Code	Anthropic	32	26.9%
GitHub Copilot	GitHub	2	1.7%

03Evidence

Inspect the matches

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

Matched commit samples

d52462c0 on GitHubRemove the Optional Assistant Follow-Up cellClaude Code
e14fa62a on GitHubDrop Plotly from the notebook and READMEClaude Code
2ce2bae5 on GitHubDrop the totals checkClaude Code
b59572d9 on GitHubSample code for: Cursor vs Copilot: Which AI Editor Is Better for Python? GitHub Copilot
aa2173d7 on GitHubSample code for: Cursor vs Windsurf: Which AI Code Editor Is Best for PythGitHub 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 window	137
Merge commits removed	−18
CI / dependency bots removed	−0
Considered	119

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 →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 realpython/materials

Scan another repository

Try

Month	Agent share	Considered commits
2026-02	0%	7
2026-03	0%	3
2026-04	4.8%	21
2026-05	37.5%	8
2026-06	30%	10
2026-07	21.4%	14
2026-08	19.4%	31
2026-09	72%	25