<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>GET Request on The Coders Blog</title><link>https://thecodersblog.com/tag/get-request/</link><description>Recent content in GET Request on The Coders Blog</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 08 May 2026 21:06:14 +0000</lastBuildDate><atom:link href="https://thecodersblog.com/tag/get-request/index.xml" rel="self" type="application/rss+xml"/><item><title>GETadb.com: Every GET Request in a DB</title><link>https://thecodersblog.com/show-hn-getadb-com-database-for-every-get-request-2026/</link><pubDate>Fri, 08 May 2026 21:06:14 +0000</pubDate><guid>https://thecodersblog.com/show-hn-getadb-com-database-for-every-get-request-2026/</guid><description>&lt;p&gt;The landscape of web development, particularly for those building and debugging APIs, is often a chaotic hunt for information. Developers grapple with understanding how their applications interact with external services, what data is being fetched, and under what conditions. Traditional logging and monitoring tools can be cumbersome, requiring intricate setup and often generating overwhelming amounts of data that are difficult to parse. Enter GETadb.com, a truly novel solution that flips the script by making &lt;em&gt;every GET request&lt;/em&gt; a first-class citizen in a relational database. This isn&amp;rsquo;t just another logging tool; it&amp;rsquo;s a foundational shift in how we can analyze, track, and even build applications based on observed GET request patterns.&lt;/p&gt;</description></item></channel></rss>