Building a Multi-Agent AI System from Scratch (No Frameworks)

<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>

<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

<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

<h1> Google Remy and Meta Hatch: The Technical Architecture Behind 24/7 Personal AI Agents </h1> <p>Two big AI agent stories broke this week that every developer building on top

<h1> Building Production AI Agents with LangGraph: Beyond the Toy Examples </h1> <p>Every AI tutorial shows you a chatbot that answers questions. That's not an agent. An agent

<p>Claude's tool use (function calling) API is what separates toy chatbots from actual agents. I've built production agents with it — here's what reliable tool use looks like when

<p><strong>TL;DR:</strong> I built the same browser agent twice — once with 500 lines of Python, once with 7 lines of JSON. The second one took 5 minutes. The agent harness layer

<h1> How to Build Your First AI, GenAI &amp; Agentic AI Project </h1> <p>Every tutorial on the internet right now starts with a ten-paragraph essay defining what an LLM is, as if