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Full Description
Learn how to structure, scale, and extend GenAI applications using 20+ software design patterns in a modular, production-ready architecture
Key Features
Apply 20+ classic design patterns to GenAI systems with real code examples
Build a modular, extensible GenAI platform using proven software architecture principles
Master pattern-driven approaches to prompt design, memory, model management, and APIs
Purchase of the print or Kindle book includes a free PDF eBook
Book DescriptionBuild modern GenAI applications that go beyond simple prompt and response loops. This book shows you how to apply proven software design patterns to build modular, testable, production-ready generative AI systems.
You will explore more than 20 classic patterns including Facade, State, Interpreter, Factory, Proxy, and Strategy, mapped to real GenAI challenges such as prompt construction, session memory, tool execution, model API abstraction, and extensibility. Each pattern is introduced with context, explained through code, and connected to components in a reference GenAI system called Metis.
Learn to build prompts with Builder and Template Method, manage conversations with State and Memento, control model lifecycles with Factory, Singleton, and Proxy, and abstract model APIs using Adapter and Bridge. You will also work through advanced topics like plugin architectures, instrumentation, and caching strategies for scale.
Written by an experienced engineer and system architect, this book provides a practical blueprint for designing robust GenAI platforms. Whether you are building internal AI tools or commercial LLM products, you will gain the architectural thinking needed to scale confidently.
By the end, you will be able to architect GenAI systems that are modular, composable, extensible, and ready for real-world complexity.What you will learn
Apply classic design patterns to GenAI system components
Implement modular orchestration using Facade and Mediator
Manage conversational state and memory with Memento and State
Build dynamic prompts with Builder and Template Method
Integrate multiple model APIs using Adapter and Bridge
Add tool execution workflows using Command and CoR
Customize system behavior with Strategy and Plugin patterns
Design extensible, scalable LLM platforms for production use
Who this book is forThis book is for software engineers, system architects, and GenAI developers building real-world large language model (LLM) systems. It assumes you're comfortable writing Python and familiar with the basics of LLMs or APIs like OpenAI or Claude. Readers should have experience developing backend systems or platforms and want to elevate their approach to GenAI design using formal software architecture principles.
Contents
Table of Contents
Singleton Pattern
Factory Method Pattern
Abstract Factory Pattern
Builder Pattern
Prototype Pattern
Adapter Pattern
Bridge Pattern
Composite Pattern
Decorator Pattern
Facade Pattern
Flyweight Pattern
Proxy Pattern
Chain of Responsibility Pattern
Command Pattern
Interpreter Pattern
Iterator Pattern
Mediator Pattern
Memento Pattern
Observer Pattern
State Pattern
Strategy Pattern
Template Method Pattern
Visitor Pattern
Dependency Injection18
Event Sourcing
