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.

Open Source AI Accelerator Research Platform Standard / 开源推理研究平台

SemiAnalysisAI/InferenceX ↗

SemiAnalysisAI/InferenceX AI coding statistics: 38.4%

of 1,427 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate
38.4% agent · top contributor 45.8%59 contributors
org-wide

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

548
agent commits
879
other considered commits
59
agent contributors
45.8%
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

547assisted
1autonomous

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
2026-0226.6%109
2026-0346.1%89
2026-0445.3%161
2026-0563.9%249
2026-0629.3%191
2026-0740.9%259
2026-0828.6%203
2026-0915.7%166

Peak month: 63.9%. Bars are scaled to that peak, not to 100%.

Which agents

AgentVendorCommitsShare
Claude CodeAnthropic52336.7%
Cursor AgentAnysphere271.9%

Inspect the matches

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

Matched commit samples

  • 83fe82e2 on GitHub[Klaud Cold] Update dsv41flash-fp4-gb300-vllm-agentic-dspark vLLM image toClaude Code
  • 53c1692d on GitHub[Klaud Cold] Update dsv41flash-fp4-gb200-vllm-agentic-dspark vLLM image toClaude Code
  • 9d357839 on GitHub[Klaud Cold] Update dsv41flash-fp4-h100-vllm-agentic-dspark vLLM image to Claude Code
  • 1018ae9f on GitHub[AMD][DSV4][Disagg] Enable UMBP, DP-attention tuning, FP4 sparse-attentionCursor Agent
  • 1d119e89 on GitHub[AMD][AgentX] Add MiniMax-M3 MXFP4 ATOM AgentX MTP on MI355X / 在 MI355X 上添Cursor Agent
  • 2f9fa466 on GitHubOptimize GLM-5.2-MXFP4 SGLang Agentic Performance on MI355X (#2900)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 window1,433
Merge commits removed−0
CI / dependency bots removed−6
Considered1,427

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 SemiAnalysisAI/InferenceX

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