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.

The open LMS by Instructure, Inc.

01Result

instructure/canvas-lms ↗

instructure/canvas-lms AI coding statistics: 9.9%

of 2,516 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate

9.9% agent · top contributor 31.7%25 contributors

org-wide

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

249

agent commits

2,267

other considered commits

agent contributors

31.7%

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

249assisted

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: 13.4%. Bars are scaled to that peak, not to 100%.

Which agents

Agent	Vendor	Commits	Share
Claude Code	Anthropic	249	9.9%

03Evidence

Inspect the matches

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

Matched commit samples

b337fb49 on GitHublink caption status text to language name via aria-describedbyClaude Code
1ec91e51 on GitHubadd grade post policy tray to individual gradebookClaude Code
50bcbaa2 on GitHubAdd aria-label to peer review iconClaude 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 window	2,516
Merge commits removed	−0
CI / dependency bots removed	−0
Considered	2,516

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 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 instructure/canvas-lms

Scan another repository

Try

Month	Agent share	Considered commits
2026-02	9.1%	832
2026-03	13.4%	954
2026-04	6.2%	730