Education & Reference

AI Agent 全栈学习课程

Source: Callous-0923/agent-study · ★ 448 · HTML

Last updated 2026-08-19 · benchmark measured 2026-08-19 — deterministic & reproducible

A 37-chapter, seven-level Chinese course on building AI Agents from scratch.

Are you the maker of AI Agent 全栈学习课程? Claim this listing. It is free, takes a meta tag, a DNS record or GitHub admin rights, and never changes the score.

Launched something? Add your product, free.

To cite this score: legit.show/s/gh-callous-0923-agent-study/2026-08-19. That address never changes; this page moves with every re-measure.

Legit.Show scored AI Agent 全栈学习课程 63/100 on 2026-08-19, measured across all 7 frames from its public surface. legit.show/s/gh-callous-0923-agent-study/2026-08-19

Is AI Agent 全栈学习课程 production-ready?

Legit.Show scores AI Agent 全栈学习课程 63 out of 100 — the simple average of its 7 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on AI Agent 全栈学习课程 (public-surface assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Performance; its weakest is Discoverability. Every frame it averages is published with its evidence on the Legit.Show listing.

The 7 Frames

• Performance — 99/100
• Accessibility — 77/100
• Security — 45/100
  How this compares across the catalogue: The Web Security Baseline
• Privacy — 25/100
  How this compares across the catalogue: The Privacy Gap
• Reliability — 92/100
• Standards — 85/100
• Discoverability — 15/100

What we measured

• Security headers present: HSTS.
• No Content-Security-Policy.
• Served over HTTPS with a valid certificate.
• Real Lighthouse performance run — 149 ms to first byte.
• Returns a proper 404 for unknown routes.
• 0 of 0 sampled routes reachable.
• No privacy policy found.
• Sets cookies / loads scripts with no consent prompt.

Who it's for

Recent graduates · Career-switching engineers · AI Agent developers · Job seekers · Product engineers

Sources and updates

Description

Taken from agent-study-ruddy.vercel.app's own website on 2026-08-19.

Code

github.com/Callous-0923/agent-study.

Benchmark

Measured by Legit.Show from the live site, the way any visitor sees it — with no access to its code or accounts. Same method for every product, and no AI decides the score. Last checked 2026-08-19.

Put together from public information, without AI Agent 全栈学习课程's involvement. If anything here is wrong, tell us and a person will check it.

Visit AI Agent 全栈学习课程 → · Alternatives to AI Agent 全栈学习课程 → · How this was measured →