<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Conflict Resolution on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/conflict-resolution/</link><description>Recent content in Conflict Resolution on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 06 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/conflict-resolution/index.xml" rel="self" type="application/rss+xml"/><item><title>Resolving Data Merge Conflicts</title><link>https://ai-blog.noorshomelab.dev/mastering-dolt-guide/resolving-data-conflicts/</link><pubDate>Sat, 06 Jun 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/mastering-dolt-guide/resolving-data-conflicts/</guid><description>&lt;p&gt;Imagine a scenario: two team members are working on different features, each requiring changes to the &lt;em&gt;same record&lt;/em&gt; in a shared database. One updates a product&amp;rsquo;s price for a sale, while the other adjusts it due to supplier costs. When their work converges, how do you prevent one change from obliterating the other? This is the core problem of data merge conflicts, and knowing how to resolve them is an essential skill in any version-controlled data environment.&lt;/p&gt;</description></item></channel></rss>