<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Insta on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/insta/</link><description>Recent content in Insta on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Tue, 17 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/insta/index.xml" rel="self" type="application/rss+xml"/><item><title>Chapter 11: Comprehensive Testing: Unit, Golden, and Fuzz Testing</title><link>https://ai-blog.noorshomelab.dev/mermaid-lint-guide/chapter-11-comprehensive-testing/</link><pubDate>Tue, 17 Mar 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/mermaid-lint-guide/chapter-11-comprehensive-testing/</guid><description>&lt;h2 id="chapter-11-comprehensive-testing-unit-golden-and-fuzz-testing"&gt;Chapter 11: Comprehensive Testing: Unit, Golden, and Fuzz Testing&lt;/h2&gt;
&lt;p&gt;Welcome to Chapter 11! In the previous chapters, we meticulously built the core components of our Mermaid analyzer and fixer: the lexer, parser, AST, validator, rule engine, and formatter. We laid a strong foundation with a focus on strict correctness and deterministic behavior. However, a production-grade tool is only as reliable as its test suite. This chapter is dedicated to establishing a comprehensive testing strategy that ensures the integrity, robustness, and long-term maintainability of our &lt;code&gt;mermaid-tool&lt;/code&gt;.&lt;/p&gt;</description></item><item><title>Chapter 16: Testing and Quality Assurance</title><link>https://ai-blog.noorshomelab.dev/stellar-gen-guide/chapter-16-testing/</link><pubDate>Mon, 02 Mar 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/stellar-gen-guide/chapter-16-testing/</guid><description>&lt;h2 id="chapter-16-testing-and-quality-assurance"&gt;Chapter 16: Testing and Quality Assurance&lt;/h2&gt;
&lt;p&gt;Welcome to Chapter 16! In the previous chapters, we&amp;rsquo;ve meticulously built the core components of our Rust Static Site Generator (SSG), from content parsing and templating to incremental builds and component hydration. We now have a powerful, feature-rich system. However, even the most elegantly designed code can harbor bugs, and as we continue to add features, the complexity increases, making it harder to ensure existing functionalities remain intact. This is where a robust testing and quality assurance strategy becomes indispensable.&lt;/p&gt;</description></item></channel></rss>