<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Best-Practices on TutorialEdge.net</title><link>https://tutorialedge.net/tags/best-practices/</link><description>Recent content in Best-Practices on TutorialEdge.net</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 17 Jun 2026 12:00:00 +0000</lastBuildDate><atom:link href="https://tutorialedge.net/tags/best-practices/index.xml" rel="self" type="application/rss+xml"/><item><title>How to Make Your Pull Requests Easy to Review</title><link>https://tutorialedge.net/software-eng/make-your-pull-requests-easy-to-review/</link><pubDate>Wed, 17 Jun 2026 12:00:00 +0000</pubDate><guid>https://tutorialedge.net/software-eng/make-your-pull-requests-easy-to-review/</guid><description>&lt;p&gt;Code review is about to become your team&amp;rsquo;s biggest bottleneck. Everyone is shipping AI-generated pull requests now, which means three times the diffs hitting the same number of reviewers. The queue grows, nothing merges, and your velocity quietly grinds to a halt. In this tutorial we&amp;rsquo;ll fix that from the author&amp;rsquo;s side: instead of hoping a human catches everything, you bake a set of adversarial review &lt;em&gt;rules&lt;/em&gt; into your own change &lt;em&gt;before&lt;/em&gt; anyone else looks at it. We&amp;rsquo;ll cover three rules - keep the diff small, attack your own code, and ship observability - with Go examples for each.&lt;/p&gt;</description></item></channel></rss>