<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
<!-- SC_OFF --><div class="md"><p>been overseeing our AI agent deployment and the numbers are alarming. we have ~400 developers using AI coding agents (mixture of copilot and
<blockquote> <p>Your best feature may be destroying your margins, and your engineering team has no idea.</p> </blockquote> <p><strong>This article isn’t about AI as a productivity
<p>GPT-5.4 shipped on March 5. Seven weeks later, on April 23, 2026, OpenAI released GPT-5.5 — and the pace alone tells you something about where this race is headed. This isn't
<p>A VentureBeat survey of 40 enterprise organizations published in Q1 2026 found that 72% of enterprises believe they have meaningful control over their AI deployments. They have
<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
<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
Serious question: If an AI agent can: call APIs run workflows make decisions Should it also: spend money? Or is that too dangerous?
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