<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Production on XiDao 技术博客</title><link>https://blog.xidao.online/tags/production/</link><description>Recent content in Production on XiDao 技术博客</description><generator>Hugo -- gohugo.io</generator><language>zh-cn</language><copyright>© 2026 XiDao</copyright><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.xidao.online/tags/production/index.xml" rel="self" type="application/rss+xml"/><item><title>10 Hard Lessons from Production AI API Calls in 2026</title><link>https://blog.xidao.online/en/posts/2026-ai-api-production-lessons/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://blog.xidao.online/en/posts/2026-ai-api-production-lessons/</guid><description>&lt;h2 class="relative group"&gt;Introduction
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&lt;p&gt;In 2026, large language models are deeply embedded in production systems across every industry. From Claude 4 Opus to GPT-5 Turbo, from Gemini 2.5 Pro to DeepSeek-V4, developers have an unprecedented selection of models at their fingertips. But calling these AI APIs in production is nothing like a quick notebook experiment.&lt;/p&gt;
&lt;p&gt;This article distills 10 hard-earned lessons from real production incidents. Each one comes with a war story, a solution, and runnable code. Hopefully you won&amp;rsquo;t have to learn these the hard way.&lt;/p&gt;</description></item><item><title>生产环境AI API调用的10个血泪教训</title><link>https://blog.xidao.online/posts/2026-ai-api-production-lessons/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://blog.xidao.online/posts/2026-ai-api-production-lessons/</guid><description>&lt;h2 class="relative group"&gt;前言
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&lt;p&gt;2026年，大语言模型已经深度融入各种生产系统。从 Claude 4 Opus 到 GPT-5 Turbo，从 Gemini 2.5 Pro 到 DeepSeek-V4，开发者有了前所未有的模型选择。然而，在生产环境中调用这些AI API远非简单的 &lt;code&gt;fetch&lt;/code&gt; 请求那么简单。&lt;/p&gt;</description></item></channel></rss>