<?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>Production on Liuji's Blog</title><link>https://liuji.cc/tags/production/</link><description>Recent content in Production on Liuji's Blog</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Sat, 25 Apr 2026 00:05:00 +0800</lastBuildDate><atom:link href="https://liuji.cc/tags/production/index.xml" rel="self" type="application/rss+xml"/><item><title>用MCP构建生产级AI Agent：从概念到实战</title><link>https://liuji.cc/posts/mcp-production-agents/</link><pubDate>Sat, 25 Apr 2026 00:05:00 +0800</pubDate><guid>https://liuji.cc/posts/mcp-production-agents/</guid><description>深度讲解如何用 MCP (Model Context Protocol) 构建可扩展的生产级 AI Agent。</description></item><item><title>Langfuse：LLM生产环境可观测性完全指南</title><link>https://liuji.cc/posts/langfuse-observability-guide/</link><pubDate>Fri, 24 Apr 2026 06:27:00 +0800</pubDate><guid>https://liuji.cc/posts/langfuse-observability-guide/</guid><description>详细介绍 Langfuse 在 LLM 生产环境中的监控、调试和优化方法。</description></item></channel></rss>