AI Agent Framework

<h2> From Theory to Reality </h2> <p>So far, you’ve learned <strong>what agents are, how they think, and when to use them.</strong></p> <p>Now comes the turning point:</p>

<h3> For a more in-depth guide </h3> <p>Medium: <a

<p>Most developers who build AI agents make the same mistake: they spend weeks designing the orchestration layer, tuning the system prompt, and picking the right model — then hand

<p>Hi, I'm <strong>Billy</strong>. 👋</p> <p>I've been a developer for over 20 years. Six months ago, I was low-key terrified that AI was going to make me obsolete. Today I have a

<h2> Table of Contents </h2> <ol> <li>What an Orchestrator Actually Is </li> <li>The Four Core Responsibilities </li> <li>How Orchestrators Communicate With Agents </li> <li>The

<p>An AI agent looks like magic in a demo and like plumbing in production. Underneath the branding, it is a loop: the model observes the current state, plans a next step, calls a

<p>Everyone's talking about AI agents. But most explanations jump straight to frameworks — LangChain, CrewAI, AutoGen — without explaining what an agent actually <em>is</em> under

<p>On March 31, 2026, Anthropic accidentally shipped the entire source code of Claude Code — its flagship AI coding agent — inside a routine npm update. No hack. No reverse