<?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 Corey Daley</title><link>https://coreydaley.dev/tags/best-practices/</link><description>Recent content in Best-Practices on Corey Daley</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 04 Feb 2026 19:50:00 -0500</lastBuildDate><atom:link href="https://coreydaley.dev/tags/best-practices/rss.xml" rel="self" type="application/rss+xml"/><item><title>The Art of Iterative Cycles with AI: Why Your First Prompt is Never Your Best</title><link>https://coreydaley.dev/posts/2026/02/iterative-cycles-with-ai/</link><pubDate>Wed, 04 Feb 2026 19:50:00 -0500</pubDate><guid>https://coreydaley.dev/posts/2026/02/iterative-cycles-with-ai/</guid><description>&lt;p&gt;Here&amp;rsquo;s something I&amp;rsquo;ve learned about AI coding assistants: the first response is rarely perfect—and that&amp;rsquo;s actually a good thing. When I started using GitHub Copilot and Claude, I expected instant perfect code. Reality? AI interprets your instructions based on patterns and context, so the first attempt is often close but not quite right.&lt;/p&gt;
&lt;p&gt;The key is treating AI like a junior developer: start with clear instructions, review the result, provide feedback, and iterate. Each cycle gets closer to what you need. This isn&amp;rsquo;t a limitation—it&amp;rsquo;s how effective collaboration works.&lt;/p&gt;
&lt;p&gt;The developers who succeed with AI aren&amp;rsquo;t the ones with perfect prompts; they&amp;rsquo;re the ones who embrace refinement. Have you experienced this iterative dance with AI tools? How many rounds does it usually take you to get the result you want?&lt;/p&gt;
&lt;p&gt;Read more at &lt;a
 href="https://coreydaley.dev/posts/2026/02/iterative-cycles-with-ai/" target="_blank" rel="noopener noreferrer"&gt;https://coreydaley.dev/posts/2026/02/iterative-cycles-with-ai/&lt;/a&gt;
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