Index Everything, or Read Everything? The Dilemma of Feeding Specs to AI in Mult

<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

<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>Most AI agents have amnesia.</p> <p>You close the chat window. They forget everything. Every session starts from zero. Every context window fills up and dumps the earliest

<p>I read the phrase "spec-driven development" and immediately decided it was for people without taste. Six months later, Claude Code generated a discount system that applied

<p>A few months ago I had a question that didn't let me sleep. When people ask ChatGPT "what's the best tool for X", which brands actually get mentioned? And more importantly:

<p>The AI world has a plumbing problem. We have incredible language models, but connecting them to real tools — databases, APIs, file systems, other agents — still feels like

<p>If you're an engineering leader at a dev-tools company, an AI infrastructure platform, or an API-first SaaS, there's a good chance your marketing site is a React SPA — Vite,

<p>Perplexity AI is now a native search option in Firefox's address bar, and this single integration will funnel millions of users away from traditional search results into