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.

TokenSpeed is a speed-of-light LLM inference engine.

01Result

lightseekorg/tokenspeed ↗

lightseekorg/tokenspeed AI coding statistics: 1.6%

of 1,187 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate
1.6% agent · top contributor 42.1%7 contributors
team

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

19
agent commits
1,168
other considered commits
7
agent contributors
42.1%
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

19assisted
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
2026-050.9%228
2026-063.3%184
2026-071.3%230
2026-081.6%370
2026-091.1%175

Peak month: 3.3%. Bars are scaled to that peak, not to 100%.

Which agents

AgentVendorCommitsShare
Claude CodeAnthropic171.4%
Cursor AgentAnysphere20.2%

03Evidence

Inspect the matches

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

Matched commit samples

  • de0af866 on GitHubtest: update k3 agentic bench (disagg part 1) (#1456)Claude Code
  • ed6f83dc on GitHubrefactor(runtime): unify eager/graph decode and spec/non-spec sampling patClaude Code
  • f6d4c15a on GitHubchore: drop import-time cache-dir overrides in rel_mha flash kernel (#1241Claude Code
  • a40a243f on GitHub[Perf] Parallelize split-k reduce in mha_decode_fp16_gfx950 kernel (#353)Cursor Agent
  • c6e7b9f3 on GitHub[Perf] Optimizes loads in gfx950 fp16 decode kernel (#313)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 window1,187
Merge commits removed−0
CI / dependency bots removed−0
Considered1,187

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 →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 lightseekorg/tokenspeed

Scan another repository

Try