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.

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.

01Result

NVIDIA/TensorRT-LLM ↗

NVIDIA/TensorRT-LLM AI coding statistics: 2.2%

of 4,719 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate
2.2% agent · top contributor 11.5%45 contributors
org-wide

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

104
agent commits
4,615
other considered commits
45
agent contributors
11.5%
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

104assisted
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
2026-023.4%409
2026-033.2%474
2026-041.9%526
2026-052.2%644
2026-061.2%568
2026-072.2%764
2026-081.4%878
2026-093.3%456

Peak month: 3.4%. Bars are scaled to that peak, not to 100%.

Which agents

AgentVendorCommitsShare
Claude CodeAnthropic972.1%
Cursor AgentAnysphere60.1%
GitHub CopilotGitHub10%

03Evidence

Inspect the matches

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

Matched commit samples

  • bc013951 on GitHub[None][test] Prune DeepSeek-V3 and DeepSeek-V3.2 tests (#19114)Claude Code
  • 4b768e33 on GitHub[None][infra] Skip pre-merge perf gating when main has already regressed aClaude Code
  • dd6759a4 on GitHub[None][test] Add single-node disagg DEP4 DSpark GSM8K test for DeepSeek-V4Claude Code
  • 49f1ebbf on GitHub[https://nvbugs/6082303][fix] Treat <tool_call> as implicit end-of-reasoniCursor Agent
  • c96c68f9 on GitHub[None][feat] NVFP4 TRTLLM-Gen MoE for AutoDeploy (Nemotron Super) (#11652)Cursor Agent
  • 3fce67f3 on GitHub[TRTLLM-10948][feat] Add GPU energy monitoring to trtllm-bench (#11397)Cursor Agent
  • c6308ba2 on GitHub[#4666][fix] Handle None priority in KVCacheEventSerializer._event_diff_toGitHub 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 window4,720
Merge commits removed−1
CI / dependency bots removed−0
Considered4,719

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 NVIDIA/TensorRT-LLM

Scan another repository

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