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The Hitchhiker's Guide to Agentic AI: A Comprehensive Reference from Foundations to Deployment
A new comprehensive practitioner's reference titled 'The Hitchhiker's Guide to Agentic AI' published on arXiv, covering the full stack from transformer architecture to production deployment.
A new research paper titled 'The Hitchhiker's Guide to Agentic AI: From Foundations to Systems' has been published on arXiv, positioning itself as a comprehensive practitioner's reference for building autonomous AI systems. The book covers the full stack from first principles to production deployment, organized around the central thesis that building great agentic systems requires understanding every layer of the pipeline.
The book opens with the LLM substrate, covering transformer architecture, GPU systems, training and fine-tuning techniques including SFT, LoRA, and MoE. Its structure is designed to provide readers with a complete knowledge framework from theory to practice.
The source is arXiv cs.AI (ID 2606.24937), first announced on June 25, 2026.
Why it matters
This work provides a one-stop technical reference for the agentic AI field, potentially lowering the learning curve for practitioners and accelerating the engineering deployment of autonomous AI systems.