<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ai Development on blog.pierrehenry.be</title><link>https://blog.pierrehenry.be/tags/ai-development/</link><description>Recent content in Ai Development on blog.pierrehenry.be</description><generator>Hugo</generator><language>en-US</language><copyright>Copyright © 2026, Pierre-Henry Soria.</copyright><lastBuildDate>Tue, 30 Dec 2025 09:36:50 +0000</lastBuildDate><atom:link href="https://blog.pierrehenry.be/tags/ai-development/index.xml" rel="self" type="application/rss+xml"/><item><title>How to Solve Big Problems With Simple Code and AI</title><link>https://blog.pierrehenry.be/blog/how-to-solve-big-problems-with-simple-code-and-ai/</link><pubDate>Tue, 30 Dec 2025 09:36:50 +0000</pubDate><guid>https://blog.pierrehenry.be/blog/how-to-solve-big-problems-with-simple-code-and-ai/</guid><description>All right. So as a software engineer, knowing that the simplest path is usually the best is like wielding Occam’s razor. If you’re not familiar, that’s the principle about the complexity of an appr&amp;hellip;</description></item></channel></rss>