<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Polyglot Programming on No Semicolons</title><link>https://nosemicolons.com/tags/polyglot-programming/</link><description>Recent content in Polyglot Programming on No Semicolons</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 15 Jun 2026 13:48:07 +0000</lastBuildDate><atom:link href="https://nosemicolons.com/tags/polyglot-programming/index.xml" rel="self" type="application/rss+xml"/><item><title>The AI Code Generation Compatibility Crisis: How to Make Generated Code Work Across Node.js, Python, and Go in One Project</title><link>https://nosemicolons.com/posts/ai-code-generation-cross-language-compatibility-crisis/</link><pubDate>Mon, 15 Jun 2026 13:48:07 +0000</pubDate><guid>https://nosemicolons.com/posts/ai-code-generation-cross-language-compatibility-crisis/</guid><description>&lt;p>Ever asked ChatGPT to generate a REST API endpoint and gotten three completely different response formats for what should be the same data? Welcome to the polyglot programming nightmare that nobody talks about.&lt;/p>
&lt;p>I learned this the hard way last month when building a microservices architecture where our user service was in Go, recommendation engine in Python, and frontend API in Node.js. Each time I asked my AI assistant to generate code, it made perfectly reasonable decisions—for that specific language. The problem? None of these &amp;ldquo;reasonable&amp;rdquo; decisions played nicely together.&lt;/p></description></item></channel></rss>