<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Code Quality Benchmarks on No Semicolons</title><link>https://nosemicolons.com/tags/code-quality-benchmarks/</link><description>Recent content in Code Quality Benchmarks on No Semicolons</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 17 May 2026 09:28:52 +0000</lastBuildDate><atom:link href="https://nosemicolons.com/tags/code-quality-benchmarks/index.xml" rel="self" type="application/rss+xml"/><item><title>The AI Code Generation Stack Ranking: Which Models Actually Ship to Production in 2024</title><link>https://nosemicolons.com/posts/ai-code-generation-stack-ranking-production-2024/</link><pubDate>Sun, 17 May 2026 09:28:52 +0000</pubDate><guid>https://nosemicolons.com/posts/ai-code-generation-stack-ranking-production-2024/</guid><description>&lt;p>Ever wonder which AI coding assistant actually helps you ship real features instead of just impressive demos? I spent the last six months tracking production deployments across 200+ development teams, and the results might surprise you.&lt;/p>
&lt;p>While most AI coding benchmarks focus on toy problems and synthetic tests, I wanted to understand what happens when rubber meets road. Which models generate code that actually makes it to production? Which ones help teams move faster versus creating more work? Let&amp;rsquo;s dig into the data.&lt;/p></description></item></channel></rss>