<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Sustainable Development on No Semicolons</title><link>https://nosemicolons.com/tags/sustainable-development/</link><description>Recent content in Sustainable Development on No Semicolons</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 09 Apr 2026 09:00:38 +0000</lastBuildDate><atom:link href="https://nosemicolons.com/tags/sustainable-development/index.xml" rel="self" type="application/rss+xml"/><item><title>The AI Code Generation Burnout: Why Developers Are Quitting AI Tools After 6 Months</title><link>https://nosemicolons.com/posts/ai-code-generation-burnout-why-developers-quit/</link><pubDate>Thu, 09 Apr 2026 09:00:38 +0000</pubDate><guid>https://nosemicolons.com/posts/ai-code-generation-burnout-why-developers-quit/</guid><description>&lt;p>Ever notice how that shiny new AI coding assistant you were raving about six months ago is now collecting digital dust? You&amp;rsquo;re not alone. I&amp;rsquo;ve been tracking this pattern across developer communities, and there&amp;rsquo;s a fascinating—and slightly concerning—trend emerging.&lt;/p>
&lt;p>Despite the initial excitement around AI coding tools, surveys show that roughly 60% of developers significantly reduce or completely stop using AI assistants within six months of adoption. It&amp;rsquo;s not because the tools stopped working or became less capable. The issue runs deeper: we&amp;rsquo;re experiencing a new kind of burnout that nobody saw coming.&lt;/p></description></item></channel></rss>