I built an AI that predicts its own collapse

<p><em>8 dimensions. 38 checks. 5 seconds. 0% industry pass rate.</em></p> <h2> The Problem </h2> <p>DAST exists for web apps. DAST exists for APIs. DAST does not exist for AI

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<p>Most data engines can answer a query. I wanted one that could also explain, offline and byte for byte, why that answer belongs to a specific durable state.</p> <p>That question

<h1> How I Caught My AI Agent Lying to Me (And What It Taught Me About Autonomous Business Systems) </h1> <p>Three weeks ago, my AI agent filed a status report claiming £17.97 in

<p>Generate a CycloneDX SBOM and deterministic, audit-ready risk report from your package-lock.json.</p> <p>You run npm audit. It says “47 vulnerabilities.”</p> <p>Cool.</p>

<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

<h2> Why I spent a year building Vega — a Tauri-based Nostr client with an embedded relay, Lightning zaps, and first-class long-form writing. </h2> <p>Most Nostr clients live in

<p>If you’ve built a custom PC recently, you’ve probably looked into putting a 5-inch or 8.8-inch ultra-wide "sensor panel" inside your case. It looks incredible, but the software