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.

The Tavily Python SDK allows for easy interaction with the Tavily API, offering the full range of our search, extract, crawl, map, and research functionalities directly from your Python programs. Easily integrate smart search, content extraction, and research capabilities into your applications, harnessing Tavily's powerful features.

01Result

tavily-ai/tavily-python ↗

tavily-ai/tavily-python AI coding statistics: 25.8%

of 31 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate
Too little recent activity to publish. Only 31 commits landed in this window, so the percentage is noisy. Repositories below 100 are excluded from the index for this reason.
25.8% agent · top contributor 50%3 contributors
individual

One person is driving this. The headline number reflects a single contributor's workflow, not a project-wide shift.

8
agent commits
23
other considered commits
3
agent contributors
50%
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

8assisted
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
2026-030%3
2026-040%2
2026-050%1
2026-060%3
2026-07100%3
2026-080%10
2026-0950%8

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

Which agents

AgentVendorCommitsShare
Claude CodeAnthropic825.8%

03Evidence

Inspect the matches

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

Matched commit samples

  • 92c840fb on GitHub[ENG-1809] fix: lower feedback() default timeout to 10sClaude Code
  • 65504a97 on GitHub[ENG-1809] docs: show differentiated per-result scores in feedback exampleClaude Code
  • 5f85ecf2 on GitHub[ENG-1809] docs: simplify feedback example, drop confirmation printClaude Code

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 window45
Merge commits removed−14
CI / dependency bots removed−0
Considered31

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 →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 tavily-ai/tavily-python

Scan another repository

Try