The Hitchhiker's Guide to Agentic AI: From Foundations to Systems

The Hitchhiker's Guide to Agentic AI is a comprehensive reference for building autonomous AI systems, covering the full stack from foundational LLM substrates to production deployment. It delves into alignment and reasoning layers, agentic training, memory systems, and inter-agent coordination, including multi-agent architectures and communication protocols. The book concludes with agent development frameworks, UI design, evaluation, and deployment, offering theoretical foundations, code examples, and literature references.