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.

Easiest and laziest way for building multi-agent LLMs applications.

01Result

LazyAGI/LazyLLM ↗

LazyAGI/LazyLLM AI coding statistics: 10.3%

of 214 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate
10.3% agent · top contributor 27.3%10 contributors
org-wide

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

22
agent commits
192
other considered commits
10
agent contributors
27.3%
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

22assisted
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
2026-020%16
2026-030%15
2026-0410.5%19
2026-0510.5%38
2026-0619%42
2026-078.3%48
2026-088%25
2026-0918.2%11

Peak month: 19%. Bars are scaled to that peak, not to 100%.

Which agents

AgentVendorCommitsShare
Cursor AgentAnysphere104.7%
Claude CodeAnthropic83.7%
Gemini CLIGoogle31.4%
GitHub CopilotGitHub10.5%

03Evidence

Inspect the matches

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

Matched commit samples

  • db264c45 on GitHubfeat(llm): preserve provider usage and emit model/tool timings (#1305)Cursor Agent
  • a48b3a37 on GitHubfeat: inject IMAP mailbox credentials for mail tools (#1306)Cursor Agent
  • ccf84009 on GitHubfix(agent): accept structured history_compactor split (#1292)Cursor Agent
  • c34a8b59 on GitHubfix: handle missing pyproject.toml gracefully in thirdparty module (#1246)Claude Code
  • dda7d888 on GitHubfeat: add search and find to FeishuWikiFS and NotionFS (#1198)Claude Code
  • a3b553f9 on GitHub[Feature] Add writer tools and data models (#1216)Claude Code
  • a4c54fba on GitHubfix(rag): skip DocServer auto-upgrade for embedded vector stores (#1178)Gemini CLI
  • 1157d0d3 on GitHubfix Qwen multidalEmb, input format bug (#1147)Gemini CLI
  • ed0310c1 on GitHub[Bug Fix] Fix tracing hook import issue (#1109)Gemini CLI
  • 33e7f5c9 on GitHub[Refactor] Introduce `online/offline` mode and Unified IR Layer for OCR ReGitHub 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 window214
Merge commits removed−0
CI / dependency bots removed−0
Considered214

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 →Gemini CLI commitsBrowse repositories with detected Gemini CLI 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 LazyAGI/LazyLLM

Scan another repository

Try