Swift (iOS/macOS) Application Architecture: From Basics to Patterns
Swift (iOS/macOS) Application Architecture: From Basics to Patterns
Summary:
This book is a practical guide to designing and developing Swift applications for the Apple ecosystem. It's not about syntax or language basics, but about how to turn a set of screens and data models into a flexible, testable, and easily maintainable system.
Who is this book for?
- Junior iOS/macOS developers who want to move to the next level.
- Middle-level developers looking to systematize their knowledge and learn modern approaches.
- Team Leads seeking well-founded arguments for choosing an architecture in a new project.
What will you learn?
- SOLID Principles in Swift: how to apply them in practice, not just memorize definitions.
- Design Patterns: from classic (MVC, Delegation, Observer) to modern (MVVM, Coordinator, Redux approaches).
- Dependency Injection (DI): manual and via libraries (Swinject, Resolver).
- Working with Multithreading: Grand Central Dispatch, OperationQueue, Swift Concurrency (async/await, actors).
- Architecture Testing: how to write unit tests for ViewModels, services, and coordinators.
- Refactoring: a step-by-step process of turning "spaghetti code" into a modular system.
Book Structure:
Each chapter contains a theoretical part, a practical example (from a simple todo app to a full-fledged news API client), and self-test questions. You won't just read about patterns — you'll implement them in a real project, improving its architecture step by step.
What makes this book different?
- Focus on practice: minimal fluff, maximum code and diagrams.
- Covers both platforms: iOS and macOS.
- A chapter on testing architectural decisions — a rarity for Swift books.
- Up-to-date: the book is written with Swift 5.9+ and Xcode 15+ in mind.
After reading, you will be able to confidently design applications that are easy to scale and maintain, and provide reasoned answers to the question: "Why did we choose this particular architecture?".
The book is suitable both for self-study and for preparing for interviews at companies that value quality code.