<p>A patch touches zero test files. No assertion changes, no new skips, no fixture edits. The suite goes green on the first run.</p> <p>Then someone opens the job duration graph
<ul> <li>GitHub repository: <a href="https://github.com/gezilinll/agent-grove" rel="noopener noreferrer">https://github.com/gezilinll/agent-grove</a> </li> <li>Online
<p>Four agents entered an infinite loop in November 2025. They ran for 11 days. The bill was $47,000. Nobody noticed until it was over.</p> <p>The team was running a market
<p>My build passed on my laptop. It died on a free server in 40 seconds.</p> <p>Same code. Same lockfile. Same commit hash. So what changed?</p> <p>The answer is boring and
<p>Why this is worth reading: a free coding model can return a patch that passes your test suite and still create a costly change. It might delete a seed file, flip an executable
<p>A green check is a local fact. Merge is a promotion.</p> <p>If you let an agent-written diff jump from “tests passed on my laptop” to <code>main</code>, you skipped three
<p>You've heard of DevOps. You've heard of AIOps. You've probably heard of MLOps.</p> <p>But there's a category that doesn't exist yet — and it's the one the AI industry needs
<p>`---<br /> title: "Why I Built a Brain for My AI Agents — and What It Taught Me About Memory"<br /> published: true<br /> description: "Anamnesis v0.3.0: The cognitive
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