Foundations of Context Engineering: Mastering Prompt Design, Core Principles, and the Model Context Protocol (MCP) to Build Smarter, Reliable, and Scalable AI Systems

AI success isn't just about bigger models-it's about better context. Poorly designed prompts and unstructured workflows lead to hallucinations, rising costs, and fragile systems. This book shows you how to fix that.

Foundations of Context Engineering is a practical guide for developers, engineers, and AI architects who want to move beyond ad-hoc prompting and build intelligent systems that work consistently at scale. You'll learn how to design effective prompts, structure reliable context pipelines, and implement the Model Context Protocol (MCP) to enable seamless agent-to-agent communication.

Inside, you'll discover:

• Proven prompt design patterns and anti-patterns

• Core principles for managing context windows and reducing hallucinations

• Step-by-step context pipeline design with data ingestion and preprocessing

• How MCP outperforms traditional APIs in reliability and scalability

• Testing, evaluation, and optimization strategies for production systems

With detailed explanations, code illustrations, and real-world case studies, this book gives you the tools to transform AI from unpredictable outputs into dependable, scalable solutions.

Build AI systems that don't just work-they last.