Awesome Agentic AI (ZH) — 7-Stage Learning Map

Practical Notes

• Quant: the roadmap is organized into 7 stages with two tracks (CLI Power User vs Agent Builder).
• Quant: it highlights 145+ projects and estimates 14–19 weeks minimum (realistically 5–6 months at 5–8 hr/week).

Main

A practical way to use this repo at work:

1. Follow Stage 0–2 as shared foundation, then choose Track A (use CLI agents) or Track B (build agents).
2. Treat each stage’s “hands-on” items as acceptance tests: finish them before moving on.
3. Keep a weekly log of what you built and what failed—agent work improves fastest when failures are explicit.

If your goal is productivity with Claude Code/Codex, Track A is the faster path; Track B is the deeper path for system builders.

FAQ

Q: Is it only in Chinese? A: No—README shows Traditional Chinese, Simplified Chinese, and English docs.

Q: Which track should I start with? A: Most people start with Track A for CLI productivity, then switch to Track B for deeper agent building.

Q: How long does it take? A: The repo estimates 14–19 weeks minimum; realistic pace is 5–6 months at 5–8 hours/week.