<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Production Ready Code on No Semicolons</title><link>https://nosemicolons.com/tags/production-ready-code/</link><description>Recent content in Production Ready Code on No Semicolons</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 22 Jun 2026 13:28:12 +0000</lastBuildDate><atom:link href="https://nosemicolons.com/tags/production-ready-code/index.xml" rel="self" type="application/rss+xml"/><item><title>The AI Code Generation Accuracy Trap: Why 99% Correct Code Is Still Useless in Production</title><link>https://nosemicolons.com/posts/ai-code-generation-accuracy-trap-99-percent-correct-useless/</link><pubDate>Mon, 22 Jun 2026 13:28:12 +0000</pubDate><guid>https://nosemicolons.com/posts/ai-code-generation-accuracy-trap-99-percent-correct-useless/</guid><description>&lt;p>Ever had that moment where your AI assistant generates code that looks absolutely perfect, passes all your initial tests, and then spectacularly fails the moment real users touch it? You&amp;rsquo;re not alone, and you&amp;rsquo;re definitely not doing anything wrong.&lt;/p>
&lt;p>I&amp;rsquo;ve been thinking a lot about this lately after watching a demo where an AI model boasted 99.2% accuracy on coding benchmarks. Impressive, right? But here&amp;rsquo;s the thing that keeps me up at night: in production software, that remaining 0.8% isn&amp;rsquo;t just a minor inconvenience—it&amp;rsquo;s often the difference between a system that works and one that crashes at 2 AM on Black Friday.&lt;/p></description></item></channel></rss>