<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Prompt-Based Testing on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/prompt-based-testing/</link><description>Recent content in Prompt-Based Testing on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 24 Jan 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/prompt-based-testing/index.xml" rel="self" type="application/rss+xml"/><item><title>Chapter 8: Testing Strategies for Kiro Agents</title><link>https://ai-blog.noorshomelab.dev/aws-kiro-mastery/testing-kiro-agents/</link><pubDate>Sat, 24 Jan 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/aws-kiro-mastery/testing-kiro-agents/</guid><description>&lt;h2 id="introduction-to-testing-strategies-for-kiro-agents"&gt;Introduction to Testing Strategies for Kiro Agents&lt;/h2&gt;
&lt;p&gt;Welcome to Chapter 8! In our journey with AWS Kiro, we&amp;rsquo;ve explored its core features, set up our environment, and even built our first agents. But how do we ensure these intelligent agents consistently deliver high-quality, correct, and reliable outputs? The answer, as with any software, lies in robust testing.&lt;/p&gt;
&lt;p&gt;This chapter will guide you through the unique landscape of testing AI-powered agents built with AWS Kiro. We&amp;rsquo;ll delve into various testing strategies, from unit and integration tests to more specialized behavioral tests tailored for AI. You&amp;rsquo;ll learn how Kiro&amp;rsquo;s built-in mechanisms, like &lt;code&gt;specs&lt;/code&gt; and &lt;code&gt;hooks&lt;/code&gt;, can be leveraged to define expected outcomes and automate verification. By the end of this chapter, you&amp;rsquo;ll have a solid understanding of how to build confidence in your Kiro agents&amp;rsquo; performance and maintain their quality over time.&lt;/p&gt;</description></item></channel></rss>