Opis
Build 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.