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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Is LLM-Generated Code More Maintainable \&amp; Reliable than Human-Written Code? · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2508.00700/</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/2508.00700/feed.xml" rel="self" type="application/rss+xml" /><item><title>Is LLM-Generated Code More Maintainable \&amp; Reliable than Human-Written Code? — mentioned by keeda</title><link>https://news.ycombinator.com/item?id=46226019</link><guid isPermaLink="false">urn:hackerpapers:mention:2508.00700:46226019</guid><pubDate>Thu, 11 Dec 2025 00:20:08 GMT</pubDate><description>&lt;p&gt;&amp;gt; Yes, but I think pre-AI virtually everyone reading this would have been very skeptical about their ability to do so. That&amp;#x27;s not quite true: while everybody acknowledged it was folly to measure absolute individual productivity, there were aggregate metrics many in the industry were aligning on like DORA or the SPACE framework, not to mention studies like https://dl.acm.org/doi/abs/10.1145/3540250.3558940 Similarly, many of these AI coding studies do not look at productivity on an individual level at a point of time, but in aggregate and over an extended period of time using a randomized…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2508.00700/"&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>
