<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Prompt Engineering on</title><link>https://raze.mx/tags/prompt-engineering/</link><description>Recent content in Prompt Engineering on</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Sun, 21 Sep 2025 10:00:00 -0500</lastBuildDate><atom:link href="https://raze.mx/tags/prompt-engineering/index.xml" rel="self" type="application/rss+xml"/><item><title>Learning Prompt Engineering with GitHub Copilot: From Zero-Shot to Code Whisperer</title><link>https://raze.mx/post/prompt-engineering/</link><pubDate>Sun, 21 Sep 2025 10:00:00 -0500</pubDate><guid>https://raze.mx/post/prompt-engineering/</guid><description>&lt;h2 id="the-art-of-speaking-machine-my-journey-into-prompt-engineering"&gt;The Art of Speaking Machine: My Journey into Prompt Engineering&lt;/h2&gt;
&lt;p&gt;Six months ago, I thought prompt engineering was just a fancy term for &amp;ldquo;writing better Google searches.&amp;rdquo; Boy, was I wrong. After diving deep into GitHub Copilot and experimenting with various AI coding assistants, I&amp;rsquo;ve discovered that prompt engineering is more like learning a new programming language—one where precision, context, and creativity intersect in fascinating ways.&lt;/p&gt;
&lt;p&gt;In this post, I&amp;rsquo;m going to share the techniques and experiments that have transformed my relationship with AI-assisted coding. We&amp;rsquo;ll explore the fundamentals of constructing effective prompts, dive into the powerful 4S technique, and master the spectrum of zero-shot, one-shot, and few-shot learning approaches that can turn you from a hesitant AI user into a confident code whisperer.&lt;/p&gt;</description></item></channel></rss>