Foreword
Welcome to the PMAT Book - your comprehensive guide to the PAIML MCP Agent Toolkit.
In the rapidly evolving landscape of AI-assisted development, the need for reliable, high-quality code analysis has never been more critical. PMAT represents a breakthrough in making agentic coding not just possible, but reliable and production-ready.
Why PMAT?
Traditional code analysis tools operate in isolation, providing metrics without context. AI coding assistants work with limited understanding of your codebase. PMAT bridges this gap by:
- Zero Configuration: Works instantly with any codebase
- MCP Integration: Native support for the Model Context Protocol
- Extreme Quality: Toyota Way standards with zero-defect tolerance
- Multi-Language: Support for 10+ programming languages
- Production Ready: Used in enterprise environments worldwide
What You’ll Learn
This book takes you from installation to mastery:
- Getting Started: Install PMAT and run your first analysis in minutes
- Core Concepts: Understand how PMAT analyzes and grades code
- MCP Integration: Connect PMAT with Claude and other AI agents
- Advanced Features: Master technical debt grading, similarity detection, and more
- Real-World Usage: Apply PMAT in production environments
Who This Book Is For
- Developers wanting to improve code quality
- Team Leads implementing quality gates
- DevOps Engineers integrating analysis into CI/CD
- AI Engineers building reliable coding agents
- Anyone working with modern codebases
How to Use This Book
Each chapter includes:
- Status Indicators: Know what’s production-ready
- Working Examples: Copy-paste ready code
- Practical Tips: Real-world best practices
- Troubleshooting: Common issues and solutions
Let’s begin your journey to mastering AI-powered code analysis with PMAT.