English | 2025 | ISBN: 979-8307371572 | 411 Pages | PDF, EPUB | 10 MB
This is a book about writing good code with examples written in JavaScript. Software development is about more than shipping features – it’s about building code that stands the test of time and remains adaptable to changing requirements.
This book teaches principles of maintainable software design, demonstrating how key patterns apply across REST APIs, front-end state, lambda functions, or even tiny scripts.
You’ll see domain logic, data access, and transport layers in action, and learn to manage clarity and flexibility. Through practical examples like splitting monolithic handlers or extracting front-end logic, you’ll learn to handle complexity with confidence.
We cover duplication, reusability, and more, showing why some repetition may beat overkill abstractions. By the end, you’ll refine your taste in code, knowing how to create maintainable software in any environment.
Who is this book for?
- Aspiring full-stack developers
- Experienced developers looking to expand their skill set
- Computer science students seeking practical knowledge
- Self-taught programmers aiming to fill knowledge gaps
Full-Stack Tao uses popular technologies like React, Express, React-Query, and TypeScript to explain key concepts.
However, the principles and rules discussed in this book are applicable across all programming languages and technology stacks. The goal is to teach you timeless software design principles that you can apply throughout your career, regardless of the specific tools you’re using.
The book is made of 6 sections, starting from the code-level details, and gradually increasing the level of abstraction to design patterns, principles, architecture, and goes all the way to fundamental product-level decisions like picking your tech stack.
- The importance of principles.
- Code-level best practices, loops, conditionals, variables, and functions.
The SOLID principles in practical examples. - Practical clean architecture, modules, forms, and state management.
- Designing a lambda, a script, ORMs, DB complexity, testing.
- Setting up the project, picking a tech stack, how to build features.
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