Show HN: Notes on Agentic AI – A text-first guide for practicing engineers (github.com)

A new guide titled "Notes on Agentic AI" has been released, focusing on the practical development of production-ready AI agents for practicing engineers. This resource, written by an experienced engineer, marries conceptual frameworks with runnable, modular coding examples, allowing developers to build real AI agents from scratch. Key topics covered include tool-calling, retrieval-augmented generation (RAG), multi-agent systems, and best practices for production hardening, all facilitated through local execution with Ollama. The guide emphasizes the importance of prior programming knowledge while introducing new paradigms in agentic AI design. The significance of this guide lies in its structured approach to teaching developers how to harness large language models (LLMs) effectively within agentic frameworks. By illustrating the intricate relationships between LLMs, tools, memory, and prompts, it fosters a deeper understanding of how to create adaptable and capable AI systems. Key technical insights include the critical role of prompt engineering in shaping agent behavior and outcomes, where nuances in prompt wording can greatly influence the success of AI interactions. This resource is poised to advance the skills of developers by offering practical, hands-on coding experience alongside authoritative concepts, contributing to the evolving landscape of AI applications.