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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Modelling homogeneous generative meta-programming · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1602.06568/</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/1602.06568/feed.xml" rel="self" type="application/rss+xml" /><item><title>Modelling homogeneous generative meta-programming — mentioned by mafribe</title><link>https://news.ycombinator.com/item?id=11934108</link><guid isPermaLink="false">urn:hackerpapers:mention:1602.06568:11934108</guid><pubDate>Sun, 19 Jun 2016 18:52:08 GMT</pubDate><description>&lt;p&gt;Artificial Intelligence is because metaprogramming is easier in homoiconic languages. Homoiconicity is something you can add to any language, dynamically or statically typed, simple or complex, it doesn&amp;#x27;t matter. It used to be belived that only syntactically simple languages like Lisp are suitable for homoiconic extension, but this myth was destroyed by Walid Taha and his development of the MetaML family of languages. For an overview of how to add homoiconicity to languages, see https://arxiv.org/abs/1602.06568&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1602.06568/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.PL</category></item></channel></rss>
