What is LangChain? Building an AI Agent in 10 Lines of Code

<h1> The Agent Loop </h1> <p><em>The entire AI agent stack in 60 lines of Python.</em></p> <p><a class="article-body-image-wrapper"

<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> 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>This is post #21 in the <strong>Ruby for AI</strong> series. We've been building everything from scratch — API calls, RAG pipelines, agents, streaming. That's great for

<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>Most AI tutors today feel like glorified chatbots with a text-to-speech layer slapped on top. But what if students could actually <em>talk</em> to their tutor, pause

<h1> Anthropic Managed Agents Architecture: Decoupling Brain from Hands </h1> <p>Anthropic published <a href="https://www.anthropic.com/engineering/managed-agents" rel="noopener

<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