<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Developer Budget on No Semicolons</title><link>https://nosemicolons.com/tags/developer-budget/</link><description>Recent content in Developer Budget on No Semicolons</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 24 Aug 2026 08:38:03 +0000</lastBuildDate><atom:link href="https://nosemicolons.com/tags/developer-budget/index.xml" rel="self" type="application/rss+xml"/><item><title>The AI Code Generation GPU Crisis: How Model Computing Costs Are Bankrupting Indie Developers</title><link>https://nosemicolons.com/posts/ai-code-generation-gpu-crisis-computing-costs/</link><pubDate>Mon, 24 Aug 2026 08:38:03 +0000</pubDate><guid>https://nosemicolons.com/posts/ai-code-generation-gpu-crisis-computing-costs/</guid><description>&lt;p>Ever wondered why that slick AI coding assistant feels so magical? It&amp;rsquo;s probably burning through more GPU compute in an hour than your laptop uses in a month. And someone&amp;rsquo;s paying for it — often more than you might think.&lt;/p>
&lt;p>I&amp;rsquo;ve been diving deep into the economics of AI-powered development tools lately, and the numbers are honestly kind of shocking. What started as curiosity about why some AI coding tools have such strict usage limits turned into a rabbit hole that revealed just how expensive this technology really is to run.&lt;/p></description></item></channel></rss>