Most of the code running through a modern web application was not typed by hand. An AI assistant drafted it, in seconds, from a short prompt. That's not a prediction - it's already how a large share of software gets written. The skill that made a developer valuable ten years ago, the ability to produce working code quickly, is no longer scarce. What's scarce now is the ability to look at code someone (or something) else produced and know whether it's actually right. The Vibe-Coding Developer teaches full-stack web development the way it's always been taught - frontend to backend, HTML to deployment, one layer at a time. What's different is why: every chapter pairs a real, necessary piece of full-stack development with a "Vibe-Coding Checkpoint" - a worked example of AI-generated code that runs, looks correct, and hides a specific, realistic flaw. A missing await. A wide-open CORS policy. A race condition that only shows up under real concurrent load. The point isn't that AI-generated code is bad. It's that AI-generated code is exactly as good as code written by a fast, confident junior developer who's never seen your project before - and you wouldn't ship that developer's first draft unread either. Reading code well requires knowing what it's supposed to do, at every layer - which is why this book still teaches HTML, CSS, and JavaScript from first principles, still walks through the request-response cycle, still explains why a database enforces a foreign key. None of that becomes optional just because an assistant can generate it. Inside, you'll build three real projects, carrying real requirements and real bugs forward from chapter to chapter: A single-page task manager applicationA REST API built with Node.js and ExpressA full-stack booking platform, complete with authentication and testingAlong the way, you'll cover HTML, CSS and modern frameworks, JavaScript and the DOM, backend architecture, databases (SQL and NoSQL), authentication, testing strategies, Git, DevOps and CI/CD, cloud deployment, and a dedicated look at how AI and large language models are reshaping the developer's job - closing with a chapter on Agile, Extreme Programming, and what code review means when a machine is generating a share of the mistakes. Who this book is for: anyone comfortable with a computer and curious about how the web actually works - no prior production experience required. Whether you're a computer science student, a self-taught beginner, or a developer who wants a structured way to think about AI-assisted coding, this book builds the foundation you need to stop taking generated code on faith and start knowing exactly what you're accepting. Read it start to finish to build the foundation for the first time. Keep it on the shelf as a reference afterward. Either way: when you accept a piece of code, AI-written or otherwise, you'll know exactly what you're accepting.
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