<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>SWE-Bench on SoloSoft</title><link>https://www.solosoft.dev/tags/swe-bench/</link><description>Recent content in SWE-Bench on SoloSoft</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.solosoft.dev/tags/swe-bench/index.xml" rel="self" type="application/rss+xml"/><item><title>OpenHands: Open-Source AI Software Development Platform with 71K Stars</title><link>https://www.solosoft.dev/post/openhands-ai-developer-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/openhands-ai-developer-2026/</guid><description>&lt;p&gt;OpenHands is an open-source AI-powered software development platform that has rapidly grown to over 71,000 GitHub stars by redefining what&amp;rsquo;s possible with AI-assisted coding. Formerly known as OpenDevin, OpenHands is developed by &lt;a href="https://github.com/All-Hands-AI/OpenHands"&gt;All-Hands-AI&lt;/a&gt; and provides a comprehensive environment where AI agents can autonomously write code, debug issues, deploy applications, browse the web, and collaborate with human developers in real time.&lt;/p&gt;
&lt;p&gt;The platform distinguishes itself by running inside a sandboxed execution environment, giving AI agents full access to a bash shell, browser, and code editor &amp;ndash; much like a human developer&amp;rsquo;s workstation. This environment-first approach allows OpenHands to handle complex, multi-step software engineering tasks that go far beyond simple code completion, positioning it as one of the most capable open-source coding agents available in 2026.&lt;/p&gt;</description></item><item><title>SWE-agent: Princeton's Open-Source AI Agent for Autonomous Software Engineering</title><link>https://www.solosoft.dev/post/swe-agent-software-engineering-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/swe-agent-software-engineering-2026/</guid><description>&lt;p&gt;Princeton University&amp;rsquo;s Natural Language Processing group has produced some of the most influential research in AI, and &lt;strong&gt;SWE-agent&lt;/strong&gt; represents a landmark contribution to the emerging field of AI-driven software engineering. Rather than treating code generation as a stateless text completion problem, SWE-agent frames it as an interactive agent task: the model receives a GitHub issue, must explore the codebase to understand the context, formulate a fix, apply it, and verify the result.&lt;/p&gt;
&lt;p&gt;This approach mirrors how human developers actually work. When faced with a bug report, a developer does not immediately start writing code. They read the relevant files, search for related functions, check git history, run tests, and iteratively refine their understanding before making changes. SWE-agent replicates this workflow through a design innovation called the Agent-Computer Interface (ACI).&lt;/p&gt;</description></item></channel></rss>