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.

🪐 🔧 Model Context Protocol (MCP) Server for Jupyter.

01Result

datalayer/jupyter-mcp-server ↗

datalayer/jupyter-mcp-server AI coding statistics: 18%

of 194 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate
18% agent · top contributor 25.7%10 contributors
org-wide

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

35
agent commits
159
other considered commits
10
agent contributors
25.7%
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

35assisted
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
2026-02100%1
2026-0380%10
2026-0418.2%11
2026-050%1
2026-0633.3%3
2026-072.1%47
2026-083.8%78
2026-0944.2%43

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

Which agents

AgentVendorCommitsShare
Claude CodeAnthropic3417.5%
Cursor AgentAnysphere10.5%

03Evidence

Inspect the matches

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

Matched commit samples

  • a4808782 on GitHubdeps: code-sandboxes>=1.9.0Claude Code
  • a2591557 on GitHubAdds cancellable HTTP execution, room-scoped Datalayer tokens, and pinned Claude Code
  • a3ae1eb2 on GitHubfeat(instructions): state the ALWAYS MCP rule in the server instructions (Claude Code
  • 0609ca2d on GitHubfix(execute): MCP progress keepalive for long cell runs (#298) (#309)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 window198
Merge commits removed−0
CI / dependency bots removed−4
Considered194

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 datalayer/jupyter-mcp-server

Scan another repository

Try