Claude Code Mastery: Build Production-Ready Agentic AI Systems Faster with MCP, Multi-Agent Workflows, Security Patterns, and Real Projects

You Already Know Claude Code. Now Learn to Build With It.
You've learned the commands. You've connected an MCP server. Maybe you've even built a few small projects.
Then reality hits.
Sessions lose context. Token costs grow faster than expected. Agent workflows become difficult to control. Security questions appear long before deployment. And suddenly you realize that building something impressive is very different from building something you can actually trust in production.

Claude Code Mastery is not another beginner guide or command reference.
It's a practical engineering playbook for developers who want to design, build, test, secure, and operate production-ready agentic AI systems with confidence.

Inside you'll learn how to:
✔ Build production-ready AI systems faster using proven engineering workflows.
✔ Design scalable context architecture that keeps long-running sessions reliable.
✔ Connect Claude Code to external tools safely using MCP.
✔ Coordinate multi-agent workflows with planners, reviewers, validators, and specialized agents.
✔ Apply practical security patterns based on real documented vulnerabilities—not theoretical examples.
✔ Control token usage and development costs before they become expensive production problems.
✔ Test AI systems that don't produce the same answer twice using evaluation and regression strategies designed for non-deterministic software.
✔ Move from local experiments to production deployment with repeatable engineering practices.
Instead of toy examples, you'll build three complete real-world projects that demonstrate the entire engineering lifecycle—from planning and implementation to testing, debugging, security review, and deployment.

You'll also get practical reference material you can keep using long after you finish reading, including CLAUDE.md patterns, an MCP security audit template , a 90-day production readiness checklist, and a CCA-F certification alignment map.

This book is for developers who already know the basics and want to go beyond tutorials.
No filler.
No recycled documentation.
Just the engineering practices that help you build AI systems ready for the real world.