Your Agent's Deadline Is a Correctness Test, Not an SLO

<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>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>Deterministic agent tests become much more valuable when they are expressed as reusable quality gates rather than one-off assertions scattered across test files.</p> <p>A gate

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wxfdt9/qwen38_27b_1_x_r9700_262k_context_half_a_million/"> <img alt="Qwen3.8 27B | 1 x R9700: 262K context,

<p>Your agent tests pass. Your monitoring says "green."</p> <p>Meanwhile, your agent just hallucinated a refund policy, leaked a customer's SSN, and burned $2,847 in a token

<p><em>Originally published on <a href="https://loopandretry.github.io/posts/your-agents-p99-is-a-different-animal/?ref=devto" rel="noopener noreferrer">Loop &amp; Retry</a> —

<p>For a while, my LLM provider migration test was embarrassingly simple:</p> <ol> <li>Change the base URL</li> <li>Send one normal prompt</li> <li>Get a response</li> <li>Call it

<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