<p>Quick intro: I have been writing WordPress since 2009 and shipping products since 2017. For the last 18 months I have been building <strong><a href="https://easycommerce.dev/"
<p>A website chatbot can answer questions, but what happens after the conversation ends?</p> <p>Does the business know who was interested? Can the team review what the visitor
<p>Every browser agent does the same expensive thing: dump the entire DOM into an LLM, ask "what should I click?", and repeat for every step. A 10-step workflow costs ~$4 in LLM
<p>Let's be real: the current AI coding workflow is tedious. </p> <p>You hit a bug. You copy your code. You tab out to ChatGPT/Claude. You paste it. You copy the fix. You paste it
<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>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
<h1> I Let OpenClaw Build a Web App From Scratch - It Even Created the PayPal Plan </h1> <p><strong>TL;DR</strong>: I gave OpenClaw an idea. It built the entire product, deployed
<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
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