"VIBE Coding by Example" is a comprehensive guide to AI-assisted programming that's transforming software development. This book introduces readers to VIBE (Visual, Interactive, Bot-assisted Engineering) coding—where developers collaborate with AI to build software through natural language instructions rather than writing every line manually.
Written for both beginners and experienced developers, this book explores the paradigm Andrej Karpathy described in early 2025 as "fully giving in to the VIBEs" of AI-generated code. Through practical projects, readers learn to harness AI assistants like Claude 4.0 Sonnet, GitHub Copilot, and specialized IDEs to build real applications.
While we focused on Claude Sonnet for this book in order to be consistent, you could use an alternative AI such as Gemini Pro 2.5, or Open AI o3. In addition, we show you how to set up GitHub Copilot and Cursor.
The book progresses from foundations to advanced implementations across ten In chapters 1-4, readers explore the VIBE coding revolution, its historical context, and setting up essential tools. Chapters 5-7 guide readers through beginner projects, including a personal website, portfolio site, and task manager application. Chapter 8 provides advanced e-commerce site development with product catalogs and payment processing. Chapter 9 covers full-stack web applications with database integration, while Chapter 10 explores developing a research project for cutting-edge neural-symbolic models.
Each project provides detailed prompts for AI assistants, complete code examples, and best practices for architecture, security, and deployment. The book emphasizes that while AI handles implementation details, human developers remain essential as architects and creative directors.
Throughout, readers discover how VIBE coding accelerates development cycles, debugs problem issues, democratizes programming, and allows focus on solving high-level problems—all while maintaining professional software quality standards.
I love words, but that wasn't always true. I grew up with a talent for numbers, leading me to follow a different path. I went to Annapolis and MIT and became a nuclear physicist at Lawrence Livermore National Laboratory. Only after I retired was my desire to tell stories reawakened.
In recent years, I have immersed myself in the world of words, drawing on my scientific knowledge and personal experience to shape my writing.
As a scientist, I explored physics and technology, which enabled me to create informative and insightful books, sharing my knowledge with readers who sought to expand their understanding in these areas—contributing to their intellectual growth while satisfying my own passion.
But it was my time as a naval officer that ignited my imagination and propelled me into science fiction. After graduating from the United States Naval Academy and serving on nuclear submarines during both hot and cold wars, I witnessed firsthand the complexities and challenges of military operations that seamen face daily.
This allowed me a unique perspective, which I channeled into creating Henry Gallant and a 22nd-century world where a space officer fought against invading aliens. Through this narrative, I explored the depths of human resilience, the mysteries of space, and the intricacies of military conflict.
My stories let me share the highlights of my journey with you. I hope you enjoy the ride. (www.hpeteralesso.com)
This was a constructive set of exercises to explore vibe coding, defines as AI writes the code, but guided by your prompts. Each chapter builds an application of some type using a series of one paragraph prompts.
The good: they communicate that to make this work, you have to have a plan. And after each paragraph prompt, the AI makes a plan and executes the plan to fill the request. The prompts clearly demonstrate that you need to have an idea how this should work. Even when it does not work, the types of mistakes are instructive. I also like how test suites are an integral part of development. Watching the AI write a test suite, then fix the failure was a dose of confidence.
The not-so-good: it does not give an ovall framework on how to approach programming with and AI. I get that the individual paragraphs have a form, but not the whole process of designing the prompts. Of course this is based on the presumption that you know how these programs should be designed.
The book is written using Anthropic Claude Code. I repeated the exercises using Neovim with Gemini CLI. The lessons still work.