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<h2> TL;DR </h2> <ul> <li> <strong>DeepSeek V4 shipped April 24, 2026</strong> in two flavours: <strong>V4-Pro</strong> (1.6T MoE / 49B active) and <strong>V4-Flash</strong> (284B
<p>I run a team of AI agents on a Mac I bought in 2022. They handle my Slack, run research, draft content, monitor infrastructure, and spawn sub-agents for compound tasks. The
<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
<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
<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>For the last few years the tech industry has quietly assumed this<br /><br /> AI is powerful almost free and it will eventually pay for itself </p> <p>Turns out that story is
<h1> Fix Your Prompt Structure Before You Touch Your Infrastructure </h1> <p>Most engineering teams treat LLM inference costs as an infrastructure problem. They evaluate model
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