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.

Vizro is a low-code toolkit for building high-quality data visualization apps.

01Result

mckinsey/vizro ↗

mckinsey/vizro AI coding statistics: 8.6%

of 187 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate
8.6% agent · top contributor 50%6 contributors
team

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

16
agent commits
171
other considered commits
6
agent contributors
50%
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

16assisted
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
2026-026.9%29
2026-032.9%34
2026-049.5%21
2026-055.3%19
2026-0614.3%28
2026-077.1%28
2026-0815%20
2026-0912.5%8

Peak month: 15%. Bars are scaled to that peak, not to 100%.

Which agents

AgentVendorCommitsShare
GitHub CopilotGitHub126.4%
Cursor AgentAnysphere42.1%
Claude CodeAnthropic21.1%

03Evidence

Inspect the matches

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

Matched commit samples

  • db03b2b7 on GitHub[QA] Datetimepicker tests (#1835)GitHub Copilot
  • b3701a3a on GitHub[Docs] Note to prevent AI contribution without human effort (#1840)GitHub Copilot
  • 22f45089 on GitHub[Docs] Updates to docs to make the more agent friendly (#1797)GitHub Copilot
  • 5aa744c9 on GitHub[Docs] Add one-sentence text descriptions inside Result tabs (#1810)Cursor Agent
  • 22f45089 on GitHub[Docs] Updates to docs to make the more agent friendly (#1797)Cursor Agent
  • 2280402e on GitHub[Docs] Add llmstxt for every docs subproject with correct versioning and fCursor Agent
  • d2bf674a on GitHub[Docs] Fix versioning bug with llms content (#1860)Claude Code
  • 6185c73b on GitHub[Docs] Remove decommissioned vizro.mckinsey.com link from examples README Claude 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 window203
Merge commits removed−0
CI / dependency bots removed−16
Considered187

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 →Cursor Agent commitsBrowse repositories with detected Cursor Agent 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 mckinsey/vizro

Scan another repository

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