<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>架構 on YennJ12 Engineering Blog</title><link>https://yennj12.js.org/yennj12_blog_V4/tags/%E6%9E%B6%E6%A7%8B/</link><description>Recent content in 架構 on YennJ12 Engineering Blog</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Sat, 11 Apr 2026 10:00:00 +0800</lastBuildDate><atom:link href="https://yennj12.js.org/yennj12_blog_V4/tags/%E6%9E%B6%E6%A7%8B/feed.xml" rel="self" type="application/rss+xml"/><item><title>LangGraph AI 後端架構設計模式：從單體到分佈式</title><link>https://yennj12.js.org/yennj12_blog_V4/posts/langgraph-ai-backend-architecture-zh/</link><pubDate>Sat, 11 Apr 2026 10:00:00 +0800</pubDate><guid>https://yennj12.js.org/yennj12_blog_V4/posts/langgraph-ai-backend-architecture-zh/</guid><description>深入講解如何設計可擴展、高性能的 LangGraph AI 後端架構，涵蓋從單體應用到微服務的演進，包括 Agent 拓撲、數據流、錯誤恢復、分佈式協調等生產級設計模式。</description></item></channel></rss>