<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Deployment Strategy on No Semicolons</title><link>https://nosemicolons.com/tags/deployment-strategy/</link><description>Recent content in Deployment Strategy on No Semicolons</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 24 Apr 2026 09:24:00 +0000</lastBuildDate><atom:link href="https://nosemicolons.com/tags/deployment-strategy/index.xml" rel="self" type="application/rss+xml"/><item><title>The AI Code Rollback Strategy: How to Safely Undo Generated Features When Everything Breaks</title><link>https://nosemicolons.com/posts/ai-code-rollback-strategy-safely-undo-generated-features/</link><pubDate>Fri, 24 Apr 2026 09:24:00 +0000</pubDate><guid>https://nosemicolons.com/posts/ai-code-rollback-strategy-safely-undo-generated-features/</guid><description>&lt;p>Picture this: it&amp;rsquo;s 2 AM, your phone is buzzing with alerts, and that brilliant AI-generated feature you deployed yesterday is taking down your production servers. Sound familiar? If you&amp;rsquo;ve been building with AI assistance for any length of time, you&amp;rsquo;ve probably lived this nightmare at least once.&lt;/p>
&lt;p>The truth is, AI-generated code can fail spectacularly, and often in ways we don&amp;rsquo;t expect. But here&amp;rsquo;s what I&amp;rsquo;ve learned after a few sleepless nights: having a solid AI code rollback strategy isn&amp;rsquo;t just about damage control—it&amp;rsquo;s about coding with confidence.&lt;/p></description></item></channel></rss>