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.

Efficient Triton Kernels for LLM Training

01Result

linkedin/Liger-Kernel ↗

linkedin/Liger-Kernel AI coding statistics: 35.4%

of 240 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate
35.4% agent · top contributor 35.3%19 contributors
org-wide

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

85
agent commits
155
other considered commits
19
agent contributors
35.3%
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

85assisted
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
2026-023.6%28
2026-0314.9%47
2026-0424%25
2026-059.1%22
2026-0630%20
2026-0752.4%21
2026-0869.2%52
2026-0964%25

Peak month: 69.2%. Bars are scaled to that peak, not to 100%.

Which agents

AgentVendorCommitsShare
GitHub CopilotGitHub5723.8%
Claude CodeAnthropic2811.7%
Cursor AgentAnysphere10.4%

03Evidence

Inspect the matches

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

Matched commit samples

  • de77856a on GitHubperf(flce): reuse logits buffers and write input gradients directly (#1468GitHub Copilot
  • dc151263 on GitHubFix Python setup in LCK container builds (#1466)GitHub Copilot
  • d72addc5 on GitHubPublish multi-architecture Liger Cute wheel on releases (#1465)GitHub Copilot
  • 7a12e092 on GitHub[cuTile] Add v3 cuTile backends for 6 Liger ops (#1321)Claude Code
  • 30978024 on GitHubUpdate CuTe DSL backend docs: op list and DSL version (#1386)Claude Code
  • 16e49d40 on GitHubAdd LigerCute: fused expert-parallel MoE kernels for Hopper and Blackwell Claude Code
  • b3327ee2 on GitHub[NPU] refact fused_neighborhood_attention (#1265)Cursor Agent

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 window240
Merge commits removed−0
CI / dependency bots removed−0
Considered240

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 linkedin/Liger-Kernel

Scan another repository

Try