<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hexa on A Field CTO Perspective</title><link>https://gaberger.github.io/tags/hexa/</link><description>Recent content in Hexa on A Field CTO Perspective</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 29 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://gaberger.github.io/tags/hexa/index.xml" rel="self" type="application/rss+xml"/><item><title>The Rules Nobody Wrote Down</title><link>https://gaberger.github.io/2026/09/the-rules-nobody-wrote-down/</link><pubDate>Tue, 29 Sep 2026 00:00:00 +0000</pubDate><guid>https://gaberger.github.io/2026/09/the-rules-nobody-wrote-down/</guid><description>&lt;p>&lt;em>For twenty years, good software depended on people remembering which parts of a program were allowed to talk to which. AI coding tools don&amp;rsquo;t remember. So the rule has to be written down where a machine can enforce it.&lt;/em>&lt;/p>
&lt;p>A growing share of new code is written by AI. &lt;a href="https://arxiv.org/abs/2506.08945v2">One peer-reviewed study&lt;/a> estimates that by early 2025 about 29 percent of new Python functions pushed to GitHub from the United States were AI-written, the highest rate the study measured, up from about 5 percent in 2022.&lt;/p></description></item></channel></rss>