<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Code Review on the bin</title><link>https://thebin.net/tags/code-review/</link><description>Recent content in Code Review on the bin</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Thu, 30 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://thebin.net/tags/code-review/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Won't Write Your Career, but You Should Rewrite How You Work</title><link>https://thebin.net/2026/04/ai-wont-write-your-career/</link><pubDate>Thu, 30 Apr 2026 00:00:00 +0000</pubDate><guid>https://thebin.net/2026/04/ai-wont-write-your-career/</guid><description>&lt;p&gt;The promises of AI-powered development tools are real: faster output, broader reach, and fewer hours lost to boilerplate. But adoption without intention creates a different kind of technical debt measured in eroded skills, blind trust, and code nobody truly owns.&lt;/p&gt;&#10;&lt;p&gt;Organizations need guardrails for adopting AI tools, especially in their development workflows. Below are five practical guidelines to follow so you can keep productivity gains real and risks manageable.&lt;/p&gt;&#10;&lt;h2 id="five-guardrails-for-ai-adoption-in-development-workflows"&gt;Five Guardrails for AI Adoption in Development Workflows&lt;/h2&gt;&#10;&lt;h3 id="1-mandate-understanding-before-committing"&gt;1. Mandate Understanding Before Committing&lt;/h3&gt;&#10;&lt;p&gt;If you can&amp;rsquo;t explain what a block of code does, you have no business shipping it. This guideline has always been true, but AI makes it easier to violate. When a tool hands you a working solution in seconds, the temptation to commit and move on is strong. Fight it.&lt;/p&gt;</description></item></channel></rss>