- Dataset
- 2026-10-27-catalog-ai-v2
- Ruleset
- b2e8889c66f7
- Scanned
- 2026-10-27
- Window
- February–September 15, 2026
❤️这是一条汇总网上许多资料,而不是资料的纯粹堆砌,让人眼花缭乱的复制粘贴,这不是帮你在总结所有的知识点,而是根据实际的计算机系课程来安排学习路线,并且配合上面向就业的学习,与完全跟着学校课程相比,做到了不和工业界面试不脱节,非常实际、非常认真、非常掉头发,真心求个视频三连!
01Result
tomstillcoding/cs-roadmap ↗tomstillcoding/cs-roadmap AI coding statistics: 0%
No signed agent commits found
No agent signatures were found in the last 0 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 | 0 |
| Merge commits removed | −0 |
| CI / dependency bots removed | −0 |
| Considered | 0 |
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 tomstillcoding/cs-roadmap