<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Llm-Orchestration on IT Comparison</title><link>https://comparison.metacog.co.kr/tags/llm-orchestration/</link><description>Recent content in Llm-Orchestration on IT Comparison</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 11 Aug 2026 09:00:00 +0900</lastBuildDate><atom:link href="https://comparison.metacog.co.kr/tags/llm-orchestration/index.xml" rel="self" type="application/rss+xml"/><item><title>Graph Engineering vs Loop Engineering: One Agent's Cycle vs a Graph of Specialized Nodes</title><link>https://comparison.metacog.co.kr/posts/2026-08-11-graph-engineering-vs-loop-engineering-single-agent-cycles-v/</link><pubDate>Tue, 11 Aug 2026 09:00:00 +0900</pubDate><guid>https://comparison.metacog.co.kr/posts/2026-08-11-graph-engineering-vs-loop-engineering-single-agent-cycles-v/</guid><description>&lt;h2 id="overview"&gt;Overview&lt;/h2&gt;
&lt;p&gt;Loop engineering designs a single agent&amp;rsquo;s operational cycle — discover, plan, execute, verify, repeat — where the real bottleneck is the &lt;strong class="kw"&gt;verifier&lt;/strong&gt;, not the prompt. Graph engineering wires multiple specialized agents or steps into a directed &lt;strong class="kw"&gt;graph&lt;/strong&gt; of nodes and edges, so work can fan out in parallel and fan back in. As aibuilderclub.com frames it, this isn&amp;rsquo;t new technology — LangGraph, AutoGen, and Google&amp;rsquo;s ADK already did this — so much as a name for the moment composing loops into an org-chart-like structure actually earns its added complexity.&lt;/p&gt;</description></item></channel></rss>