<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Coding-Reality on No Semicolons</title><link>https://nosemicolons.com/tags/coding-reality/</link><description>Recent content in Coding-Reality on No Semicolons</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 02 Oct 2026 14:20:56 +0000</lastBuildDate><atom:link href="https://nosemicolons.com/tags/coding-reality/index.xml" rel="self" type="application/rss+xml"/><item><title>The AI Code Generation Reality Gap: Why 90% of Generated Features Never Make It to Production</title><link>https://nosemicolons.com/posts/ai-code-generation-reality-gap-production-failure/</link><pubDate>Fri, 02 Oct 2026 14:20:56 +0000</pubDate><guid>https://nosemicolons.com/posts/ai-code-generation-reality-gap-production-failure/</guid><description>&lt;p>Ever wonder why your AI-generated code feels so promising in the demo but turns into a maintenance nightmare three weeks later? You&amp;rsquo;re not alone. After analyzing over 200 AI-generated features that never made it to production, I&amp;rsquo;ve discovered some eye-opening patterns about the massive gap between &amp;ldquo;it works on my machine&amp;rdquo; and &amp;ldquo;it ships to customers.&amp;rdquo;&lt;/p>
&lt;p>The numbers are stark: roughly 90% of AI-generated features never see the light of day in production environments. But here&amp;rsquo;s the thing—it&amp;rsquo;s not because AI is bad at coding. It&amp;rsquo;s because we&amp;rsquo;re asking it to solve the wrong problems.&lt;/p></description></item></channel></rss>