LLM Application design patterns: A developer's guide to building with generative AI

What if you could build AI apps that think, reason, and adapt—just like human developers do?

LLM Design Patterns isn’t just another AI book—it’s your ultimate playbook for building intelligent, production-ready applications using large language models. Whether you're creating a research assistant, a customer support agent, or a personalized tutor, this guide gives you the architectural blueprints, prompt strategies, and deployment workflows you need to build confidently with generative AI.

Inside, you'll discover how to harness the full power of LLMs using proven design patterns—ranging from Retrieval-Augmented Generation (RAG) and agent loops to memory-aware reasoning and multimodal enhancements. You’ll go beyond theory with hands-on, real-world projects, complete code examples, and step-by-step tutorials built with LangChain, OpenAI, LangServe, and FastAPI.

Key benefits:

• Master prompt engineering through reusable patterns and templates

• Architect scalable, agentic AI systems that go beyond basic chatbots

• Add reasoning, memory, and even vision to your applications

• Deploy with confidence using modern frameworks like LangServe

• Learn by doing with full-stack projects and annotated codebases

What makes this book truly unique? It's developer-first and battle-tested—blending expert commentary, practical insight, and modern best practices to help you go from idea to intelligent system without the guesswork.

Whether you're an AI engineer, software developer, or product builder, this is the resource you’ve been waiting for to take your LLM skills to the next level.

Ready to build smarter apps with generative AI? Start your journey today.