<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: agentdev001</title><link>https://news.ycombinator.com/user?id=agentdev001</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Thu, 11 Jun 2026 04:07:54 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=agentdev001" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by agentdev001 in "Apache Burr: Build reliable AI agents and applications"]]></title><description><![CDATA[
<p>Nvidia Openshell solves most of the hard problems I've run into while building stuff in this space.<p>Observability is, for my purposes, solved by a given framework supporting OpenTelemetry.<p>Guardrails is where I've gotten the most value of openshell being a neat package. Agent workload scope is written as policy in openshell, and capability is backed by openshell handling all execution.<p>Monitoring/deployment/versioning is helped as well, depending on how agents/runners are slotted into the system. Deployment namely is quite well supported- openshell has kube/helm bits that are experimental atm, but seem like a logical approach imho.<p>Evals and a/b testing isnt something ive explored in depth, considering that agents with composable tool sets + frontier models are beyond my expectations already.</p>
]]></description><pubDate>Wed, 10 Jun 2026 17:44:01 +0000</pubDate><link>https://news.ycombinator.com/item?id=48479930</link><dc:creator>agentdev001</dc:creator><comments>https://news.ycombinator.com/item?id=48479930</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48479930</guid></item></channel></rss>