OpenCode AI Agent Setup: Production-Ready Workflow Guide

<p>Your Intel laptop has an NPU. It has probably had one for a while. Intel has been marketing it enthusiastically. You have been ignoring it politely.</p> <p>Fair enough. Until

<blockquote> <p>I created a new website: <a href="https://programmingcentral.vercel.app/books/typescript/" rel="noopener noreferrer">Free Access to the 8 Volumes on Typescript

<p>AI coding assistants are great, but relying on cloud APIs like Claude 3.5 Sonnet or GPT-4o for every single terminal command gets expensive fast. Plus, you might not want to

<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><em>Originally published on <a href="https://aideazz.hashnode.dev/multi-model-llm-routing-why-76-of-your-inference-shouldnt-touch-gpt-4" rel="noopener noreferrer">AIdeazz</a> —

<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

<p>In the first eight weeks of 2026, ten major open-weight LLM architectures were released.</p> <p>GLM-5 matched GPT-5.2 and Claude Opus 4.6 on benchmarks. Step 3.5 Flash

<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