Vibe Coding: The Definitive Textbook for Coding with AI

The Definitive Textbook for Coding with AI

Start Reading →

42 chapters ~58 hours total 316 pages

1

Frontmatter

6 chapters

• Vibe Coding
• Preface
• Acknowledgments
• How to Use This Book
• Prerequisites
• Vibe Coding: The Definitive Textbook for Coding with AI — Complete Outline

2

Part I: Foundations of Vibe Coding

8 chapters

• Part I: Foundations of Vibe Coding
• Chapter 1: The Vibe Coding Revolution
• Chapter 2: How AI Coding Assistants Actually Work
• Chapter 3: The AI Coding Tool Landscape
• Chapter 4: Setting Up Your Vibe Coding Environment
• Chapter 5: Python Essentials for Vibe Coders
• Chapter 6: Your First Vibe Coding Session
• Chapter 7: Understanding AI-Generated Code

3

Part II: The Art of Prompting for Code

8 chapters

• Part II: The Art of Prompting for Code
• Chapter 8: Prompt Engineering Fundamentals
• Chapter 9: Context Management and Conversation Design
• Chapter 10: Specification-Driven Prompting
• Chapter 11: Iterative Refinement and Conversation Patterns
• Chapter 12: Advanced Prompting Techniques
• Chapter 13: Working with Multiple Files and Large Codebases
• Chapter 14: When AI Gets It Wrong

4

Part III: Building Real Software with AI

10 chapters

• Part III: Building Real Software with AI
• Chapter 15: Building Command-Line Tools and Scripts
• Chapter 16: Web Frontend Development with AI
• Chapter 17: Backend Development and REST APIs
• Chapter 18: Database Design and Data Modeling
• Chapter 19: Full-Stack Application Development
• Chapter 20: Working with External APIs and Integrations
• Chapter 21: AI-Assisted Testing Strategies
• Chapter 22: Debugging and Troubleshooting with AI
• Chapter 23: Documentation and Technical Writing

5

Part IV: Architecture and Engineering Excellence

8 chapters

• Part IV: Architecture and Engineering Excellence
• Chapter 24: Software Architecture with AI Assistance
• Chapter 25: Design Patterns and Clean Code
• Chapter 26: Refactoring Legacy Code with AI
• Chapter 27: Security-First Development
• Chapter 28: Performance Optimization
• Chapter 29: DevOps and Deployment
• Chapter 30: Code Review and Quality Assurance

6

Part V: Professional Vibe Coding

6 chapters

• Part V: Professional Vibe Coding
• Chapter 31: Version Control Workflows
• Chapter 32: Team Collaboration and Shared AI Practices
• Chapter 33: Project Planning and Estimation
• Chapter 34: Managing Technical Debt
• Chapter 35: IP, Licensing, and Legal Considerations

7

Part VI: Advanced Topics and Autonomous Systems

6 chapters

• Part VI: Advanced Topics and Autonomous Systems
• Chapter 36: AI Coding Agents and Autonomous Workflows
• Chapter 37: Custom Tools, MCP Servers, and Extending AI
• Chapter 38: Multi-Agent Development Systems
• Chapter 39: Building AI-Powered Applications
• Chapter 40: Emerging Frontiers

8

Part VII: Capstone Projects and Synthesis

3 chapters

• Part VII: Capstone Projects and Synthesis
• Chapter 41: Capstone Projects
• Chapter 42: The Vibe Coding Mindset

9

Appendices

8 chapters

• Appendix A: Mathematical Foundations
• Appendix B: AI Tool Comparison Tables
• Appendix C: Python Quick Reference
• Appendix D: AI Tool Resources and Links
• Appendix E: Glossary
• Appendix F: Prompt Notation and Conventions
• Appendix G: Answers to Selected Exercises
• Appendix H: Bibliography

Explore Related Books

More open-access textbooks from our library

AI Engineering 307 pages College Football Analytics 157 pages Learning COBOL 322 pages Prediction Markets 316 pages NFL Analytics 126 pages Basketball Analytics 214 pages Soccer Analytics 230 pages Sports Betting 322 pages