I built a voice agent for Android in a weekend. Here's what actually worked

<p>The browser was easy. The phone was humbling.</p> <p>My agent already drives a desktop: screen, shell, browser. So pointing it at an Android device over ADB sounded like a

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wxfdt9/qwen38_27b_1_x_r9700_262k_context_half_a_million/"> <img alt="Qwen3.8 27B | 1 x R9700: 262K context,

<blockquote> <p><strong>Jurig</strong> (Sundanese: <em>ghost</em>) — an autonomous AI agent that haunts your binaries.<br /> </p> </blockquote> <div class="highlight

<p>You've built the demo. It works. The LLM responds, the tools fire, the output looks great.</p> <p>Then you push it to production — and everything breaks.</p> <p>API calls fail

<p><em>This is a submission for the <a href="https://dev.to/challenges/google-gemma-2026-05-06">Gemma 4 Challenge: Build with Gemma 4</a></em></p> <h2> What I Built </h2> <h3>

<p>You've heard of DevOps. You've heard of AIOps. You've probably heard of MLOps.</p> <p>But there's a category that doesn't exist yet — and it's the one the AI industry needs

<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>Four agents entered an infinite loop in November 2025. They ran for 11 days. The bill was $47,000. Nobody noticed until it was over.</p> <p>The team was running a market