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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>SWE-INTERACT: Reimagining SWE Benchmarks as User-Driven Long-Horizon Coding Sessions · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2606.30573/</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/2606.30573/feed.xml" rel="self" type="application/rss+xml" /><item><title>SWE-INTERACT: Reimagining SWE Benchmarks as User-Driven Long-Horizon Coding Sessions — mentioned by bisonbear</title><link>https://news.ycombinator.com/item?id=48811785</link><guid isPermaLink="false">urn:hackerpapers:mention:2606.30573:48811785</guid><pubDate>Mon, 06 Jul 2026 23:22:29 GMT</pubDate><description>&lt;p&gt;I&amp;#x27;ve actually been working on a solution for this problem! https://www.stet.sh/ At a high level, it - Mines tasks from your merged PRs/commits - Replays them in Docker containers with different harness settings (change model / reasoning effort / AGENTS.md / etc) - Grades the patches on various attributes (tests, equivalence with human patch, code quality) The goal is to get a sense of how agents perform on your tasks, with your context, using the tools you do. This is currently one-shot but I&amp;#x27;d definitely like to explore session-based benchmarks as well. There are some interesting papers that…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2606.30573/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
