<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Codeium on dev.endevour</title><link>https://devendevour.iankulin.com/tags/codeium/</link><description>Recent content in Codeium on dev.endevour</description><generator>Hugo</generator><language>en-AU</language><lastBuildDate>Mon, 03 Mar 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://devendevour.iankulin.com/tags/codeium/index.xml" rel="self" type="application/rss+xml"/><item><title>Where I'm up to with AI for coding</title><link>https://devendevour.iankulin.com/where-im-up-to-with-ai-for-coding/</link><pubDate>Mon, 03 Mar 2025 00:00:00 +0000</pubDate><guid>https://devendevour.iankulin.com/where-im-up-to-with-ai-for-coding/</guid><description>&lt;p&gt;There&amp;rsquo;s still plenty of controversy about LLMs for coding, and not without reason. But I thought I&amp;rsquo;d run through what I&amp;rsquo;ve tried, and where I&amp;rsquo;ve landed for using AI. Also what the pitfalls are, where it&amp;rsquo;s useful and how it&amp;rsquo;s changed my practice.&lt;/p&gt;
&lt;h3 id="issues"&gt;Issues&lt;/h3&gt; &lt;h5 id="training-data"&gt;Training data&lt;/h5&gt; &lt;p&gt;The training data for large language models generally is problematic. There&amp;rsquo;s no doubt that they have been trained on copyright material. With code it&amp;rsquo;s slightly less murky since there is a high availability of good quality open source data with attached licenses to train models on. No doubt this include code written by people who don&amp;rsquo;t approve of it being used by AI, but I think the popular reading of most open source licenses is that using it for training is fine.&lt;/p&gt;</description></item></channel></rss>