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.

A .NET library that provides access to the library that powers PyTorch.

01Result

dotnet/TorchSharp ↗

dotnet/TorchSharp AI coding statistics: 41%

of 39 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate

Too little recent activity to publish. Only 39 commits landed in this window, so the percentage is noisy. Repositories below 100 are excluded from the index for this reason.

41% agent · top contributor 100%1 contributor

individual

One person is driving this. The headline number reflects a single contributor's workflow, not a project-wide shift.

agent commits

other considered commits

agent contributors

100%

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

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

Which agents

Agent	Vendor	Commits	Share
GitHub Copilot	GitHub	16	41%

03Evidence

Inspect the matches

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

Matched commit samples

c20b6a1c on GitHubUpdate release notes (#1565)GitHub Copilot
d93c6ab3 on GitHubReplace deprecated libtorch APIs with torch::linalg equivalents (#1528)GitHub Copilot
eac4c5bb on GitHubFix hfftn/ihfftn passing garbage dim values when dim is null (#1563)GitHub 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	40
Merge commits removed	−1
CI / dependency bots removed	−0
Considered	39

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

Continue exploring

GitHub Copilot commitsBrowse repositories with detected GitHub Copilot signatures →C# AI coding statisticsCompare evidence across C# 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 dotnet/TorchSharp

Scan another repository

Try

Month	Agent share	Considered commits
2026-02	30.4%	23
2026-03	100%	2
2026-04	60%	5
2026-05	44.4%	9