Layered Design for Ruby on Rails Applications, 2nd Edition

Key Features
Understand Rails' architectural patterns, their strengths and limits
Organize business logic in Rails apps when the default MVC approach is insufficient
Introduce abstractions to integrate and manage AI features effectively
Book Description
Rails accelerates web development with its convention-over-configuration principle and MVC pattern. But as your app grows, that simplicity can turn into tangled complexity, making it harder to maintain and extend. The second edition of Layered Design for Ruby on Rails Applications helps tackle this challenge head on, guiding you toward a more scalable and maintainable architecture.
Written by a seasoned software engineer and open source contributor to Ruby on Rails, this updated edition refines the proven techniques from the first edition and introduces timely new topics that reflect today's development challenges. You'll dive deeper into state machines and workflows, learning how to identify, embed, and eventually isolate them for clarity and resilience. You'll also explore the exciting frontier of abstractions in the AI era, treating LLMs as APIs, structuring agent layers, and integrating third-party libraries to keep your AI features organized and testable.
By embracing layered abstractions, you'll not only reduce complexity but also improve your ability to adapt to change - whether adding new features, scaling systems, or weaving AI capabilities into your applications.
By the end of the book, you'll be equipped to design clean, extensible, and future-ready Rails applications.
What you will learn
Get to grips with Rails' core components and its request/response cycle
See how Rails' convention-over-configuration principle shapes development
Explore patterns for flexibility, extensibility, and testability in Rails
Identify and refactor Rails anti-patterns for improved maintainability
Implement patterns to tame bloated models and messy views
Transition from implicit to explicit state machines and workflows
Treat LLMs as APIs and extract agent layers for AI-powered features
Use third-party libraries and RAG strategies to manage AI context effectively
Who this book is for
This book is for Rails developers who want to manage and master the growing complexity of their applications. Whether you're extending an MVP into a robust system, scaling a monolithic app, or exploring AI-driven features, this book equips you with the design patterns and abstractions to keep your codebase future-proof. A solid understanding of Rails principles is required, and prior experience building Rails apps will help you put these patterns into practice.

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