<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Testdouble on jed.codes</title><link>https://jed.codes/tags/testdouble/</link><description>Recent content in Testdouble on jed.codes</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 25 Jun 2026 12:12:19 -0700</lastBuildDate><atom:link href="https://jed.codes/tags/testdouble/index.xml" rel="self" type="application/rss+xml"/><item><title>The Moat Is Made of People</title><link>https://jed.codes/posts/the-moat-is-made-of-people/</link><pubDate>Thu, 25 Jun 2026 12:12:19 -0700</pubDate><guid>https://jed.codes/posts/the-moat-is-made-of-people/</guid><description>&lt;p&gt;Lasting competitive advantage in AI products comes from domain expertise and diverse team perspectives, not the model du jour. Using Ride with Dave (a cycling AI assistant) as a case study, I argue that deep knowledge of a specific field shapes architectural decisions competitors cannot easily replicate; choosing a database over RAG, knowing the shape of the data, understanding the rider. The moat is made of people.&lt;/p&gt;
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