Coding Agents over Telegram, Part 1: Topics Are Agents

<p>You finished Part 2, so you have a topic where you type a message and a coding agent answers and drives a pane. This post is the operating contract: the small vocabulary the

<p>Your agent passed all the tests. It's been running in production for three weeks. And it has been quietly wrong the entire time.</p> <p>This is not a hypothetical. Galileo's

<p>Everyone builds demo agents. They work great in the terminal. You show them to your coworker, they say "wow." You feel like a genius for about forty-five minutes.</p> <p>Then

<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>If you're building AI agents in Python right now, two frameworks are competing for your attention: <strong>LangChain Deep Agents</strong> (launched March 15, 2026) and the

<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

<p>In this tutorial you'll build a Telegram support bot on Flowra. Customers message your bot, and an AI agent answers from your FAQ. When the agent tries a sensitive action, such

<p><a href="https://chainofthought.show/guests/sterling-chin/" rel="noopener noreferrer">Sterling Chin</a>, an applied AI engineer and senior developer advocate at Postman,