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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Code for Machines, Not Just Humans: Quantifying AI-Friendliness with Code Health Metrics · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2601.02200/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2601.02200/feed.xml" rel="self" type="application/rss+xml" /><item><title>Code for Machines, Not Just Humans: Quantifying AI-Friendliness with Code Health Metrics — mentioned by paffdragon</title><link>https://news.ycombinator.com/item?id=49083878</link><guid isPermaLink="false">urn:hackerpapers:mention:2601.02200:49083878</guid><pubDate>Tue, 28 Jul 2026 13:49:57 GMT</pubDate><description>&lt;p&gt;&amp;gt; is there any proof that slop matters beyond our sensibilities as developers? I&amp;#x27;ve seen a few papers recently on the topic in terms of LLM, here is two I found by quick googling * &amp;quot;Does Code Cleanliness Affect Coding Agents? A Controlled Minimal-Pair Study&amp;quot; https://arxiv.org/abs/2605.20049 &amp;quot;Our findings suggest that traditional maintainability principles remain highly relevant in the era of AI-driven development, shaping the computational cost and navigational efficiency of coding agents.&amp;quot; * &amp;quot;Code for Machines, Not Just Humans: Quantifying AI-Friendliness with Code Health Metrics&amp;quot;…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2601.02200/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.SE</category></item></channel></rss>
