SUMMARY AI summary by gpt-5-mini
AgentZ is a Traditional-Chinese, hands-on curriculum that teaches people from zero coding experience to building and deploying multi-agent AI systems. It’s aimed at beginners (no terminal/Python) through operators, builders, and advanced researchers/makers/educators who need practical, production-aware skills. Key features: - Progressive ladder (Watcher → Operator → Builder → advanced) with milestone evidence (GitHub repos / run IDs / portfolio tasks). - 20 chapters + capstone covering LLM basics, prompt design, Claude Code ecosystem, MCP/Skills/Plugins, function-calling, ReAct/paradigms, memory/RAG, multi-agent architectures, deployment, audit, cost controls. - 10 runnable starter-code directories, many hands-on exercises (60+), cheatsheets, troubleshooting, LLM provider guides, and glossary. - Vendor-neutral focus but deep coverage of Claude Code; MIT license; static site + PDF release.
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| Created on GitHub | 2026-05-11 |
| Last push | 2026-05-12 |
| First seen here | 2026-05-11 |
| Last fetched | 2026-05-12 16:13 |
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