<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/">
  <channel>
    <title>Prompt-Engineering on Ricardo Martins — Cloud Architecture, Azure, Kubernetes &amp; AI</title>
    <link>https://rmmartins.com/tags/prompt-engineering/</link>
    <description>Recent content in Prompt-Engineering on Ricardo Martins — Cloud Architecture, Azure, Kubernetes &amp; AI</description>
    <image>
      <title>Ricardo Martins — Cloud Architecture, Azure, Kubernetes &amp; AI</title>
      <url>https://rmmartins.com/images/profile.png</url>
      <link>https://rmmartins.com/images/profile.png</link>
    </image>
    <generator>Hugo</generator>
    <language>en-US</language>
    <lastBuildDate>Tue, 07 Jul 2026 10:01:12 -0400</lastBuildDate>
    <atom:link href="https://rmmartins.com/tags/prompt-engineering/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Context engineering: the art of feeding LLMs</title>
      <link>https://rmmartins.com/2026/07/05/context-engineering-the-art-of-feeding-llms/</link>
      <pubDate>Sun, 05 Jul 2026 10:00:00 -0400</pubDate>
      <guid>https://rmmartins.com/2026/07/05/context-engineering-the-art-of-feeding-llms/</guid>
      <description>Most of an LLM application&amp;#39;s quality comes from how you assemble the input. Here&amp;#39;s how to design context, prompts, tools, and token budgets like an infrastructure engineer.</description>
    </item>
  </channel>
</rss>
