Coding Agents over Telegram, Part 3: The Day-to-Day Operating Contract

<p>You already run coding agents (opencode, Codex, Claude Code) in tmux on some remote box: a dev server, a cloud instance, a GPU node. They work. The problem is <em>you</em>:

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

<p><strong>Your application has crashed.</strong></p> <p>The terminal has responded with 47 lines of red text, three warnings you don’t understand, and one particularly helpful

<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>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>Anthropic shipped Opus 4.7 on April 16, 2026. Same $5/$25 pricing as 4.6. Same 1M context. Same 128K output ceiling. Different model entirely when you put it in an agentic

<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