Syllabus

A map for newcomers to AI coding

1. 00.1Your ghost idea
2. 00.2Map of tools
3. 00.3First steps
4. 00.4The Source or the Packaging

Software 3.0 and why it changes everything

1. 01.1Your experience with AI
2. 01.2Four shifts
3. 01.3Five clones
4. 01.4Your first prompt

Setting up your workspace for agentic coding

1. 02.1Environment check
2. 02.2Installing the tools
3. 02.3Your first project

Which agentic stack fits your context: Claude Code, Sovereign, Cloud-OSS or Behind-GFW

1. 03.1What are your constraints?
2. 03.2Matrix of 4 stacks
3. 03.3Behind Great Firewall: no VPN
4. 03.4Hermes + local stack
5. 03.5Migration plan for your workflow

How to write prompts like a pro

1. 04.1My worst prompt
2. 04.2The spec formula
3. 04.3Magic words
4. 04.4The sins of prompting
5. 04.5A professional prompt

How agents hold information — and how to manage it

1. 05.1When the agent didn't get you
2. 05.2Context vs Prompt
3. 05.3The memory system
4. 05.4Tune your memory

Build your first practical workflow

1. 06.1The info you process by hand
2. 06.2Trigger → Action model
3. 06.3Build your pipeline
4. 06.4What to automate next?

MCP servers, Skills, Hooks and the Superpowers workflow

1. 07.1What's Claude Code missing?
2. 07.2MCP: superpowers through a protocol
3. 07.3Hooks: event automation
4. 07.4Skills: modular capabilities
5. 07.5Plug it in and test

From vibe coding to orchestrating agent systems — where the prompt stops working

1. 08.1When Prompts Stop Working
2. 08.2Jagged Intelligence: What to Delegate
3. 08.3Orchestration: ENERV Case Study
4. 08.4Prototype → Production
5. 08.5Design Your Clone

Source-grounded learning: a notebook that answers only from your sources — and how to check where it lies

1. 09.1A notebook in 15 minutes
2. 09.2How it works
3. 09.3Where it lies
4. 09.4Output formats
5. 09.5Practice