Building Complex Multi-Agent Systems Using Pattern Prompting : A guide to building robust and secure GenAI applications using software engineering best practices

Learn how to build GenAI applications using proven patterns and abstractions to work confidently across tools and frameworks Free with your book: DRM-free PDF version + access to Packt's next-gen Reader* Key Features Learn core abstractions and enterprise patterns behind modern GenAI systems Build secure, scalable agentic architectures using familiar engineering tools Generate multi-agent workflows and RabbitMQ-based GenAI configurations Use our Topologos prompt to easily build and test any agentic system Book DescriptionLearn how to build GenAI applications using proven software engineering patterns instead of rapidly changing frameworks. This book helps engineers build secure, scalable agentic systems with familiar tools and practical, engineer-to-engineer architectural guidance. You will connect GenAI concepts such as agentic workflows, embeddings, and vector databases to enterprise patterns, including components, adapters, and microarchitectures. Established GoF and enterprise design patterns help explain agentic behavior and system design, enabling you to reason about architecture rather than memorize tools. The book also shows you how to generate multi-agent and GenAI patterns as RabbitMQ configurations for scalable orchestration and communication. Using language-agnostic examples and widely used messaging, orchestration, and data technologies, you will build production-ready systems that integrate with existing infrastructure without unnecessary complexity. You will also use our Topologos prompt to build, modify, and test deploy-ready multi-agent systems quickly while improving robustness and maintainability. By the end of this book, you will be able to design reliable GenAI systems, make informed architectural decisions, and adapt confidently as tools and frameworks evolve. *Email sign-up and proof of purchase required What you will learn Build GenAI applications that are secure, reliable, and scalable Apply enterprise patterns to architect reliable GenAI sy