1. Introduction
3. Zero
4. 1. Zero
6. Part I
7. 2. Chapter 1 - Making sense of AI
8. 1. 2.1. Reality
   2. 2.2. Randomness
   3. 2.3. Fooled by AI
   4. 2.4. Vibe Coding
   5. 2.5. AI Input
   6. 2.6. Mirror on Asteroids
9. 3. Chapter 2 - Traditional AI
10. 1. 3.1. What is Traditional AI?
    2. 3.2. Regression
    3. 3.3. Classification
    4. 3.4. Clustering
    5. 3.5. Dimensionality Reduction
    6. 3.6. Reinforcement Learning
11. 4. Chapter 3 - Generative AI
12. 1. 4.1. What is Generative AI?
    2. 4.2. Transformers
    3. 4.3. Large Language Models (LLMs)
    4. 4.4. Embeddings
    5. 4.5. Text Generation
    6. 4.6. Vector Databases
    7. 4.7. RAG
    8. 4.8. Sound Generation
    9. 4.9. Image Generation
    10. 4.10. Video Generation
    11. 4.11. Fine Tuning
14. Part II
15. 5. Chapter 4 - Agents
16. 1. 5.1. What are Agents?
    2. 5.2. Context Window
    3. 5.3. llms.txt & llms-full.txt
    4. 5.4. Coding Agents
    5. 5.5. Agent Patterns
    6. 5.6. MCP
    7. 5.7. Other Approaches
    8. 5.8. Context 7
    9. 5.9. Security and Agents/MCP
    10. 5.10. Popular Agents
17. 6. Chapter 5 - Claude Code
18. 1. 6.1. What is Claude Code?
    2. 6.2. Prompt Library
    3. 6.3. Prompt Advices
    4. 6.4. Commands
    5. 6.5. Bash Mode
    6. 6.6. Exclusions
    7. 6.7. Advanced Context Window Management
    8. 6.8. ultrathink
    9. 6.9. Custom Commands
    10. 6.10. Custom Agents
    11. 6.11. Hooks
    12. 6.12. MCP and Claude Code
    13. 6.13. Decision Criteria
19. 7. Chapter 6 - Testing with AI
20. 1. 7.1. Why use AI for Testing?
    2. 7.2. AI to Help with Testing
    3. 7.3. Manual Testing
    4. 7.4. Data Generation
    5. 7.5. Stress Testing
22. Part III
23. 8. Chapter 7 - Migrations with AI
24. 1. 8.1. Why use AI for Migrations?
    2. 8.2. Inventory
    3. 8.3. Migrations in Phases
    4. 8.4. Testing
    5. 8.5. Sunsetting
    6. 8.6. After Migrations
25. 9. Chapter 8 - Non-Obvious Use Cases
26. 1. 9.1. Proof Reader
    2. 9.2. Troubleshooting
    3. 9.3. Documentation
    4. 9.4. Onboarding
    5. 9.5. Ownership
27. 10. Chapter 9 - Learning from AI
28. 1. 10.1. Ideas
    2. 10.2. Proof of Concepts (Poc)
    3. 10.3. Role Playing
    4. 10.4. Sentiment Analysis
    5. 10.5. Critical Thinking
    6. 10.6. Private Teacher
30. Epilogue
31. 11. Epilogue
32. 1. 11.1. How I wrote the book
    2. 11.2. References
    3. 11.3. Changelog
    4. 11.4. Glossary
    5. 11.5. Book Index