<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Large Scale Systems on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/large-scale-systems/</link><description>Recent content in Large Scale Systems on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 14 Feb 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/large-scale-systems/index.xml" rel="self" type="application/rss+xml"/><item><title>Chapter 19: Long-Term Maintainability &amp;amp; Evolution of Large Systems</title><link>https://ai-blog.noorshomelab.dev/react-system-design-guide/long-term-maintainability/</link><pubDate>Sat, 14 Feb 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/react-system-design-guide/long-term-maintainability/</guid><description>&lt;h2 id="introduction"&gt;Introduction&lt;/h2&gt;
&lt;p&gt;Welcome to Chapter 19! Throughout this guide, we&amp;rsquo;ve built robust React applications, explored advanced rendering strategies, embraced microfrontends, and ensured our systems are observable and resilient. But what happens &lt;em&gt;after&lt;/em&gt; a system is built and deployed? How do we keep it healthy, adaptable, and a joy to work with for years to come? This chapter dives into the critical, often overlooked, aspects of &lt;strong&gt;long-term maintainability and the strategic evolution of large React systems.&lt;/strong&gt;&lt;/p&gt;</description></item></channel></rss>