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.

Model compression toolkit engineered for enhanced usability, comprehensiveness, and efficiency.

Tencent/AngelSlim ↗

Tencent/AngelSlim AI coding statistics: 4.3%

of 92 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate
Too little recent activity to publish. Only 92 commits landed in this window, so the percentage is noisy. Repositories below 100 are excluded from the index for this reason.
4.3% agent · top contributor 25%4 contributors
team

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

4
agent commits
88
other considered commits
4
agent contributors
25%
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

4assisted
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
2026-0214.3%7
2026-030%20
2026-040%11
2026-050%13
2026-069.1%22
2026-070%10
2026-0814.3%7
2026-090%2

Peak month: 14.3%. Bars are scaled to that peak, not to 100%.

Which agents

AgentVendorCommitsShare
Claude CodeAnthropic33.3%
Cursor AgentAnysphere11.1%

Inspect the matches

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

Matched commit samples

  • 5b5b69eb on GitHubfix(models): SeedOss crash — call find_layers as a function, not self.findClaude Code
  • 8bd4dcb1 on GitHubrefactor(smooth) change path of yaml (#327)Claude Code
  • 1b717a4a on GitHubfeat: Add Windows support with triton-windows and PyTorch fallback (#237)Claude Code
  • 48939361 on GitHubfeat: Add FOCUS FP4 (MXFP4/NVFP4 W4A4) quantization support (#367)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 window92
Merge commits removed−0
CI / dependency bots removed−0
Considered92

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

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 Tencent/AngelSlim

Scan another repository