- Dataset
- 2026-10-27-catalog-ai-v2
- Ruleset
- b2e8889c66f7
- Scanned
- 2026-10-27
- Window
- February–September 15, 2026
:books: 本代码库是作者小傅哥多年从事一线互联网 Java 开发的学习历程技术汇总,旨在为大家提供一个清晰详细的学习教程,侧重点更倾向编写Java核心内容。如果本仓库能为您提供帮助,请给予支持(关注、点赞、分享)!
01Result
fuzhengwei/CodeGuide ↗fuzhengwei/CodeGuide AI coding statistics: 0%
No signed agent commits found
No agent signatures were found in the last 167 considered commits. That is a real result, not a failure to measure.
It does not mean no AI was used here. A developer can use an agent and commit by hand without leaving a detectable git signature.
02Drivers
What shapes this result
Mode, timing, and detected signatures show whether the result reflects broad adoption or one concentrated workflow.
03Evidence
Inspect the matches
Public commit samples let you inspect the signatures behind the aggregate result.
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 window | 167 |
| Merge commits removed | −0 |
| CI / dependency bots removed | −0 |
| Considered | 167 |
Bots are excluded from the denominator entirely. Agent attribution requires a literal supported signature; no code-style inference is used.
Continue exploring
Related coding-agent evidence
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 fuzhengwei/CodeGuide