<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Softwarearchitecture on NimblePros Blog</title><link>https://blog.nimblepros.com/categories/softwarearchitecture/</link><description>Recent content in Softwarearchitecture on NimblePros Blog</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 23 Jun 2026 09:00:00 +0000</lastBuildDate><atom:link href="https://blog.nimblepros.com/categories/softwarearchitecture/rss.xml" rel="self" type="application/rss+xml"/><item><title>Keeping AI Agents In Line With Clean Architecture</title><link>https://blog.nimblepros.com/blogs/ai-agents-clean-architecture/</link><pubDate>Tue, 23 Jun 2026 09:00:00 +0000</pubDate><guid>https://blog.nimblepros.com/blogs/ai-agents-clean-architecture/</guid><description>&lt;p>Imagine the following: You add a new software developer to your team. You don&amp;rsquo;t give them:&lt;/p>
&lt;ul>
&lt;li>business rules&lt;/li>
&lt;li>architecture diagrams&lt;/li>
&lt;li>coding standards&lt;/li>
&lt;li>project structure&lt;/li>
&lt;li>startup instructions&lt;/li>
&lt;/ul>
&lt;p>Then you ask them to implement a list of features. The result? Code that is inconsistent, difficult to maintain, and a complete mess.&lt;/p>
&lt;p>That&amp;rsquo;s essentially how many teams are implementing AI coding agents today. The biggest difference is that AI coding agents can create that mess in a matter of minutes, instead of weeks or months.&lt;/p></description></item></channel></rss>