Vibe Coding

The Art of Building Software with AI

De: Ajit Singh

Narrado por: Virtual Voice

"Vibe Coding: The Art of Building Software with AI" is a definitive, industry-centric manual designed to teach modern software engineering through the lens of artificial intelligence. As the technology sector rapidly evolves, traditional methods of typing every line of code by hand are becoming obsolete. This book is a detailed, 10-chapter masterclass on how to use AI to design, build, and deploy software applications practically and efficiently. This book is your practical toolkit for the modern era of software engineering. It guarantees that by the final page, you will possess the precise skills required to conceptualize a real-world problem, translate it into architectural components, and leverage AI to build, test, and deploy a robust solution to the production server.


Philosophy

The philosophy of this book is rooted in extreme pragmatism. Software engineering is no longer about syntax memorization; it is about systems thinking, architectural design, and effective delegation to AI agents. The book operates on the principle that your time as a developer is best spent solving high-level business problems rather than debugging missing brackets. I view AI not as a replacement for the software engineer, but as a high-speed compiler for human thought.


Key Features

1. Zero-to-Production Pipeline: Covers the entire software development lifecycle (SDLC) tailored for AI, from absolute scratch to final production deployment.

2. Actionable Algorithms: Every complex development task is reduced to simple, step-by-step instructions.

3. Minimal Theory, Maximum Implementation: Over 80% of the book is dedicated to hands-on practicals, code generation prompts, and architecture setups.

4. Comprehensive Chapter Structuring: Every chapter explicitly details the design, architecture, frameworks, and mode of operations for the technology being discussed.

5. Industry-Relevant Tech Stacks: Focuses on modern, highly demanded frameworks and cloud services currently utilized in enterprise environments.

6. Complete Live Capstone Project: The final chapter is a massive Do-It-Yourself project containing complete, working code and step-by-step explanations to solidify all learned concepts.



Key Takeaways

Upon completing this book, readers will possess the following actionable skills:

1. The ability to accurately prompt AI models to generate bug-free, optimized code for both frontend and backend systems.

2. A deep understanding of how to architect software so that AI can build it modularly (microservices, component-based UI).

3. The practical skills to set up development environments, frameworks, and deployment servers entirely from scratch.

4. Mastery of debugging, refactoring, and testing AI-generated code using automated AI-assisted pipelines.

5. The capacity to independently design, model, implement, and deploy real-life, industry-standard applications capable of serving live users.

Disclaimer: Earnest request from the Author.

Kindly go through the table of contents and refer kindle edition for a glance on the related contents.

Thank you for your kind consideration!