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 patterns that underpin GenAI tools and frameworks
- Build on familiar software engineering concepts such as design patterns and integration
- Develop GenAI systems with enterprise-grade reliability, performance, and QoS
Book Description
Learn how to build GenAI applications without getting tied to rapidly changing tools or frameworks. This book shows you how to approach GenAI using proven software engineering patterns and abstractions to design scalable, maintainable, production-ready systems. It aligns GenAI concepts with traditional software engineering, showing how familiar design patterns can be used to meet enterprise expectations for performance, security, reliability, and failover, without treating GenAI as entirely new. You will connect modern GenAI concepts such as agentic workflows, embeddings, and vector databases to constructs like components, adapters, and microarchitectures. Established enterprise and GoF patterns are used to clearly explain agentic behavior and system design, helping you reason about architecture rather than memorize tools. Using language-agnostic examples and widely used messaging, orchestration, and data technologies, you will build applications that integrate with existing systems without unnecessary complexity. This approach ensures your solutions remain compatible with current infrastructure and team skill sets. By the end, you will be able to design GenAI systems that deliver consistent quality of service, make informed architectural decisions, and adapt confidently as tools and frameworks continue to evolve. *Email sign-up and proof of purchase required
What you will learn
- Build GenAI applications that are secure, reliable, and scalable
- Understand the core concepts behind LLMs needed for application development
- Work with vector databases and design effective data pipelines
- Understand GenAI project phases, roles, and proficiency requirements
- Design microarchitectures using patterns for orchestration and collaboration
- Apply patterns and abstractions to stay current as tools evolve
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 software development concepts such as APIs, distributed systems, and system design, but does not require prior experience with AI, machine learning, RabbitMQ, or Airbyte. All necessary concepts and tools are introduced in contexts.
