Stop Prompting. Start Engineering AI Systems That Actually Work.If you’re still relying on prompts to build with AI, you’re already behind.
Prompt-based coding breaks the moment your projects grow, outputs become inconsistent, workflows collapse, and control disappears. That’s why top developers are shifting to
agentic AI engineering: building systems that think, act, and execute reliably.
This book shows you how to do exactly that.2 What You’ll Learn InsideThis is not another “AI tools” book.
This is a
practical, system-level guide for developers who want to move beyond experimentation and start building
production-ready AI systems using Claude Code and Model Context Protocol (MCP).
Inside, you’ll learn how to:
• Design
agentic workflows that are predictable, scalable, and controllable
• Build and orchestrate
multi-agent systems that solve real development problems
• Use
context engineering to eliminate randomness and improve output reliability
• Implement
persistent memory systems for long-term AI reasoning
• Automate development with
commands, hooks, and workflow pipelines• Integrate AI into real tools using
MCP for structured context sharing• Debug, monitor, and
control AI systems like a professional engineer
• Build a complete
production-ready AI SaaS system from scratchBuilt for Developers Who Want Real ResultsThis book is for:
• Developers tired of inconsistent AI outputs
• Engineers ready to build
scalable AI workflows• Builders who want to turn AI into a
reliable system not a guessing toolIf you understand coding but feel stuck with AI tools,
this book bridges that gap.Why This Book Is DifferentMost books stop at prompting.
This one shows you how to:
- Design systems
- Control behavior
- Scale workflows
- Build real applications
By the end, you won’t just “use AI.”
You’ll engineer it.The Future of Development Is AgenticAI is no longer a tool, it’s becoming a system.
The developers who win are the ones who know how to
design, control, and scale it.
This book gives you that advantage.If you’re serious about building
real AI-powered systems not just experimenting, this is the guide you’ve been looking for.