Building Complex Multi-Agent Systems Using Pattern Prompting
A guide to building robust and secure GenAI applications using software engineering best practices
Created by Tim O'Brien
Explore how to design and build secure, scalable GenAI systems using proven software engineering patterns. Learn to connect new GenAI concepts with familiar architectural tools so you can confidently create production-ready multi-agent applications that adapt to evolving technologies.
Packt | May 2026 | 310 min
What You Will Learn
You will start by mapping familiar software patterns to GenAI concepts, making it easier to understand complex agentic workflows. Through clear analogies and practical examples, you will see how to design, build, and test robust multi-agent systems that integrate smoothly with existing infrastructure.
Key Features
- Apply enterprise design patterns to GenAI for reliable and maintainable systems
- Build and test multi-agent workflows using practical, language-agnostic examples
- Generate RabbitMQ configurations to orchestrate scalable agentic architectures
Target Audience
Ideal for experienced software engineers, architects, and technical leads who want to add GenAI to their skill set. If you have a solid programming background but are new to AI or agentic systems, you will find clear explanations and actionable guidance to help you build secure, scalable applications.
