Understanding Agentic AI Systems
From GenAI to Agentic AI, Explained Simply (A Beginner's Guide)
For software people new to AI. Assumes you can read code, no AI background required.
Two books · A working blog · No hype
For software people actually building these systems. A gentle on-ramp for engineers new to AI, and an architect's field guide for shipping agents in production.
Start with the beginner book → Read the blog
From GenAI to Agentic AI, Explained Simply (A Beginner's Guide)
For software people new to AI. Assumes you can read code, no AI background required.
An Architect's Field Guide for Engineers
For engineers and architects building agentic systems in production. Assumes a working understanding of GenAI and agents (the level Book 1 teaches). Also serves senior AI-engineering interview prep.
The point
An agent is software that uses a language model to decide what to do next, takes that action, looks at what came back, and decides what to do after that. Everything else is plumbing.
from What is agentic AI?
A short, honest definition of agentic AI and how it actually differs from a chatbot or a generative AI app.
A breadth with depth guide to the GitHub Copilot ecosystem in 2026: foundations, plans, assisted and agentic workflows, the CLI, MCP, enterprise governance, and what is obsolete.
A vendor-neutral mental model of agentic coding in 2026: what changed, the working definition of an agent, AGENTS.md, modes of autonomy, the MCP stack, and principles that have held up across two years.
Architecture-focused prep notes for the AWS Certified Generative AI Developer Professional (AIP-C01) exam: Bedrock, RAG, agents, guardrails, cost and latency, evaluation, and common exam traps.