Your AI Agent Doesn't Need to Be Smarter. It Needs to Be Idempotent

<p>AI agents are your API's newest power users. They don't read your docs the way humans do. They parse your OpenAPI spec, call endpoints in loops, retry on every failure, and

<p><em>Originally published on <a href="https://loopandretry.github.io/posts/what-idempotent-means/?ref=devto" rel="noopener noreferrer">Loop &amp; Retry</a> — field notes on

<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

<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>Two things quietly decide whether a small application survives being used: whether its reads<br /> are indexed, and whether its writes can be repeated safely. They are usually

<p>Most developers who build AI agents make the same mistake: they spend weeks designing the orchestration layer, tuning the system prompt, and picking the right model — then hand

<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>There is a moment in security design when a single observation changes everything. NanoClaw 2.0 shipped recently with a capability that stops most developers cold: a gateway