Coder with Vibes

Not a Vibe Coder
1. Auflage 2027
ISBN: 978-1-041-25627-4
Verlag: CRC Press

Buch, Englisch, 336 Seiten, Format (B × H): 156 mm x 234 mm

Coder with Vibes: Not a Vibe Coder is a clear look at how to use the AI coding tools available today. The book does not pretend that coding fundamentals do not matter anymore because an AI model can now write passable code from a one-line prompt. The book argues, chapter after chapter, that programmers can only safely delegate what they already understand, and the depth of that understanding is what determines whether AI makes them better or simply makes them dependent. In short, no matter how advanced technology becomes, good programmers never outsource their ability to think and solve problems.

To help programmers develop that ability, the book covers software development fundamentals as well as advanced development techniques using AI. It opens with Linux, which is an absolute foundation. It covers the software engineering discipline every developer should know before letting an AI agent near a codebase. After explaining how large language models work so developers can use them with intention, the book walks through building real, working software end to end by using a repeatable framework. The book closes with the argument that learning to use AI well is the precondition for not being quietly controlled by it.

An online companion repository is available on the book’s web page at www.routledge.com. It contains full starter code, solution branches for both walkthrough projects presented in the book, rule-file templates, and every checklist referenced in the text.

Zielgruppe

Professional Practice & Development and Professional Reference

Autoren/Hrsg.

Ali, Rahim

Khan, Dan "Sage"

Zeeshan, Syeda Ayesha

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

I. The Forge 1. One Thing to Vibe (with) Them All 2. Speak, Friend, and Enter 3. Be Water, My Friend 4. The Sorcerer’s Apprentice 5. You Saw Only What the Dark Lord Wished You to See 6. Machines Virtualized 7. Rise of the Machines II. The Oath 8. The Obstacle Is the Way 9. The Argonath 10. This Message Will Self-Destruct 11. The Room of Requirement 12. The Pensieve III. The Oracle 13. Do You Dream? 14. Meet Your JARVIS 15. Choose Your Words Carefully 16. Avengers, Assemble… Carefully! 17. The Ultron Problem 18. What We Do in Life Echoes in Eternity IV. To Arms! 19. Choose Your Weapon 20. I Am the Architect 21. The First Quest 22. Django Unchained 23. In God We Trust, Rest All We Track 24. Meet Your Helmsman 25. The Holocron 26. The Kessel Run V. Who Watches the Watchmen 27. The First Law 28. The Empire Strikes Back 29. With Great Power 30. What If…? 31. The Disease and the Cure 32. The Road Goes Ever On and On Afterword. Henceforth… Appendices.A. The Spellbook: Prompt Library and Rule FilesB. The Shield Wall and Security Cheat SheetsC. The ToolboxD. The Field Manual: Linux Commands and ConceptsE. The Utility Belt: The Same Harness, Run on Knowledge Work That Isn’t Code

Über Autor(innen)

Rahim Ali (in memoriam, d. December 2025) was a solutions architect who spent twenty years working on open source, most of it as a Linux kernel developer, across the financial and technology industries. He published peer-reviewed research on elliptic-curve cryptography as an undergraduate, built security training environments and cyber ranges for investigative teams, and taught Linux to more students than he ever kept count of. The insistence that Linux fundamentals belong at the front of a book about AI-assisted development, not in an appendix, was his idea before it was anyone else’s. Several of this book’s exercises are his own, reproduced as he wrote them.

Dan “Sage” Khan is a Marie Sklodowska-Curie PhD scholar at the University of Granada, researching secure AI frameworks for autonomous systems using blockchain and knowledge graphs. He served in the navy before moving into cybersecurity, AI engineering, and technology policy, and has since worked across all three rather than settling into any one of them. He is the author of Open for Business, on the corporate case for open source, and a co-author of Third-Party Risk Assessment with AI, both with Taylor & Francis. He writes and teaches on the argument this book makes: that the tools are worth using, and that using them well is a skill you have to earn rather than download.

Syeda Ayesha Zeeshan is a software engineer based in Karachi. Her contribution to this book was the discipline of making it true: every worked example here is an example that actually runs, checked against the reality of what a working developer’s day looks like when the theory in Part III meets the deadline pressure in Part IV.