The AI Agent Engineering Handbook: Architecting Reliable, Secure, and Standardized Agentic Systems with MCP and Production-Grade Workflows
The AI Agent Engineering Handbook presents a focused guide to architecting AI agent systems with reliability, security, and standardization in mind. Covering MCP and production-grade workflows, it offers a practical foundation for readers exploring the engineering challenges of building dependable, scalable agentic systems.
About This Book
The AI Agent Engineering Handbook focuses on the design and development of AI agent systems.
It addresses reliability, security, and standardization as central considerations in agentic system architecture.
The handbook also covers MCP and its role in building structured agent integrations.
Production-grade workflows provide a practical lens for moving agent systems toward dependable operational use.
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