Building Complex Multi-Agent Systems Using Pattern Prompting
Building Complex Multi-Agent Systems Using Pattern Prompting: A guide to building robust and secure GenAI applications using software engineering best practices
English | 2026 | ISBN: 1806114291 | 454 pages | True PDF | 32.61 MB
Learn how to build GenAI applications using proven patterns and abstractions to work confidently across tools and frameworks
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 Description
Learn 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.
What you will learn
Build GenAI applications that are secure, reliable, and scalable
Apply enterprise patterns to architect reliable GenAI systems
Understand the core concepts behind LLMs needed for application development
Use practical engineering approaches for agentic architecture design
Generate RabbitMQ configurations for multi-agent GenAI systems
Build and test robust multi-agent systems using our Topologos prompt
Who this book is for
This book is written for experienced software engineers, architects, and technical leads who want to add GenAI to their toolbox without abandoning the engineering principles that define good software.
It assumes familiarity with basic programming and software development, but does not require prior experience with AI, machine learning, RabbitMQ, or Airbyte. All necessary concepts and tools are introduced in contexts.