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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Recent Advances in Neural Program Synthesis · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1802.02353/</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/1802.02353/feed.xml" rel="self" type="application/rss+xml" /><item><title>Recent Advances in Neural Program Synthesis — mentioned by exdsq</title><link>https://news.ycombinator.com/item?id=22063724</link><guid isPermaLink="false">urn:hackerpapers:mention:1802.02353:22063724</guid><pubDate>Thu, 16 Jan 2020 12:03:42 GMT</pubDate><description>&lt;p&gt;This problem is being worked on but it is by no means solved! This paper [0] is a pretty decent survey on the field and [1] is an excellent article on the topic at a high level, written by a team currently working in the space (synthesising smart contracts). [0] https://arxiv.org/pdf/1802.02353.pdf [1] https://medium.com/@vidiborskiy/software-writes-software-pro...&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1802.02353/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Recent Advances in Neural Program Synthesis — mentioned by painful</title><link>https://news.ycombinator.com/item?id=19282408</link><guid isPermaLink="false">urn:hackerpapers:mention:1802.02353:19282408</guid><pubDate>Fri, 01 Mar 2019 16:38:45 GMT</pubDate><description>&lt;p&gt;I would not write it at all. Instead, I would write only the test cases, thereby documenting the requirements. I would then evolve the software using modern machine learning techniques which are capable of program synthesis: https://arxiv.org/abs/1802.02353 The underlying implementation can keep changing but the requirements and tests don&amp;#x27;t change so much.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1802.02353/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Recent Advances in Neural Program Synthesis — mentioned by tree_of_item</title><link>https://news.ycombinator.com/item?id=18102342</link><guid isPermaLink="false">urn:hackerpapers:mention:1802.02353:18102342</guid><pubDate>Sat, 29 Sep 2018 19:38:27 GMT</pubDate><description>&lt;p&gt;Yes, you will want to research &amp;quot;program induction&amp;quot; and &amp;quot;program synthesis&amp;quot;. For a review of recent work in both, see https://arxiv.org/abs/1802.02353 For program synthesis applied to the &amp;quot;Atari&amp;quot; deep learning benchmark check out https://arxiv.org/abs/1806.05695&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1802.02353/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Recent Advances in Neural Program Synthesis — HN submission</title><link>https://news.ycombinator.com/item?id=16345749</link><guid isPermaLink="false">urn:hackerpapers:submission:1802.02353:16345749</guid><pubDate>Sat, 10 Feb 2018 03:44:23 GMT</pubDate><description>&lt;p&gt;Recent Advances in Neural Program Synthesis&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;4 points; 1 discussion reply on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1802.02353/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
