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.

Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

01Result

kubeflow/trainer ↗

kubeflow/trainer AI coding statistics: 17.9%

of 184 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate
17.9% agent · top contributor 39.4%16 contributors
org-wide

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

33
agent commits
151
other considered commits
16
agent contributors
39.4%
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

33assisted
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
2026-026.9%29
2026-0317.4%23
2026-048.3%12
2026-0527.3%22
2026-0625%28
2026-0717.1%35
2026-0812.9%31
2026-0975%4

Peak month: 75%. Bars are scaled to that peak, not to 100%.

Which agents

AgentVendorCommitsShare
Claude CodeAnthropic179.2%
GitHub CopilotGitHub147.6%
Cursor AgentAnysphere21.1%

03Evidence

Inspect the matches

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

Matched commit samples

  • 1dc92cff on GitHubfix(cache): migrate data cache image to Debian bookworm (#4051)Claude Code
  • 457c0db5 on GitHubchore(docs): improve website outline and framework guide intros (#4004)Claude Code
  • 58c25e15 on GitHubfix(framework): keep unnamed container ports when upserting (#3926)Claude Code
  • d84b3ec7 on GitHubfeat(operator): Add PreComponentBuilder and PodSpec plugins (#3889)GitHub Copilot
  • 7c6e4c76 on GitHubfix(ci): Publish images during the GitHub release workflow (#3785)GitHub Copilot
  • 977a85b3 on GitHubfeat(initializer): validate initializer Pod uses correct volume name (#371GitHub Copilot
  • 91641ffb on GitHubfeat(api): KEP-2782: Dynamic Resource Allocation support for TrainJob (#35Cursor Agent
  • 58cad8db on GitHubfeat(docs): add dedicated documentation website (#3308)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 window435
Merge commits removed−0
CI / dependency bots removed−251
Considered184

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 →Go AI coding statisticsCompare evidence across Go 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 kubeflow/trainer

Scan another repository

Try