<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Software Architecture on Pasquale Langella</title><link>https://news.pasqualelangella.com/en/categories/software-architecture/</link><description>Recent content in Software Architecture on Pasquale Langella</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Fri, 14 Jun 2024 10:30:00 +0000</lastBuildDate><atom:link href="https://news.pasqualelangella.com/en/categories/software-architecture/index.xml" rel="self" type="application/rss+xml"/><item><title>Architectural Kata Agile Dead Trees Solution By GPT-4o</title><link>https://news.pasqualelangella.com/en/2024/06/14/architectural-kata-agile-dead-trees-solution-by-GPT-4o/</link><pubDate>Fri, 14 Jun 2024 10:30:00 +0000</pubDate><guid>https://news.pasqualelangella.com/en/2024/06/14/architectural-kata-agile-dead-trees-solution-by-GPT-4o/</guid><description>One year later the experiment about creating a solution for the Architectural Kata Agile Dead Trees using chatGpt that you can find here
I asked the same questions to GPT-4o and the results are quite impressive. At the end of the article I&amp;rsquo;m explicitly asking to create the software architecture taking into account microservices architecture design patterns, guess how it went :D
This article was featured also on the Dear Architects Mailing list #191</description></item><item><title>Architectural Kata Agile Dead Trees Solution By ChatGpt</title><link>https://news.pasqualelangella.com/en/2023/05/09/architectural-kata-agile-dead-trees-solution-by-chatgpt/</link><pubDate>Wed, 10 May 2023 08:30:00 +0000</pubDate><guid>https://news.pasqualelangella.com/en/2023/05/09/architectural-kata-agile-dead-trees-solution-by-chatgpt/</guid><description>This is an experiment to check the ability of ChatGPT (GPT-4) to create software artifacts from given requirements. The architectural kata is taken from Ted Neward&amp;rsquo;s repository tedneward/ArchKatas. The ChatGPT output was taken as it was generated without any modification, even the text formatting was generated in markdown language and left as it was generated. I will try to score the tasks from 0 to 10 considering how useful and precise is the generated output.</description></item></channel></rss>