<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Copilot on dev.endevour</title><link>https://devendevour.iankulin.com/tags/copilot/</link><description>Recent content in Copilot 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/copilot/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><item><title>Using LLMs for coding</title><link>https://devendevour.iankulin.com/using-llms-for-coding/</link><pubDate>Mon, 01 Jul 2024 00:00:00 +0000</pubDate><guid>https://devendevour.iankulin.com/using-llms-for-coding/</guid><description>&lt;p&gt;&lt;a href="https://madmuseum.org/events/ghost-shell" target="_blank" rel="noopener"&gt;&lt;img src="https://devendevour.iankulin.com/images/ghost-in-the-shell_07.jpg" alt="Ghost in the Shell
© Manga Entertainment 1996
" class="img-responsive"&gt; &lt;/a&gt; &lt;/p&gt;
&lt;p&gt;This post looks at the context for some of my thinking about AI for supporting software development, and where I&amp;rsquo;ve landed on it for the time being.&lt;/p&gt;
&lt;h3 id="the-landscape"&gt;The landscape&lt;/h3&gt; &lt;p&gt;I &lt;a href="https://devendevour.iankulin.com/chatgpts-code-writing/"&gt;briefly wrote about ChatGPT&amp;rsquo;s&lt;/a&gt; coding ability at the end of 2022. The wide availability of this tool marked the beginning of what I think can fairly be described as a revolution. The controversies that have crystalised since have not dampened my amazement of this step forward in what compute can do, especially around natural language processing.&lt;/p&gt;</description></item></channel></rss>