<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:media="http://search.yahoo.com/mrss/"><channel><title>DeepSeek Harness on Shaowen Chen's Website</title><link>https://www.chenshaowen.com/en/tags/deepseek-harness/</link><description>Recent content in DeepSeek Harness on Shaowen Chen's Website</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>&amp;copy;2016 - {year}, All Rights Reserved.</copyright><lastBuildDate>Sat, 12 Sep 2026 00:00:00 +0000</lastBuildDate><sy:updatePeriod>weekly</sy:updatePeriod><atom:link href="https://www.chenshaowen.com/en/tags/deepseek-harness/atom.xml" rel="self" type="application/rss+xml"/><item><title>A Handy Helper for Development and Operations - deepseek-harness-remote-node</title><link>https://www.chenshaowen.com/en/blog/deepseek-harness-remote-node.html</link><pubDate>Sat, 12 Sep 2026 00:00:00 +0000</pubDate><atom:modified>Sat, 12 Sep 2026 00:00:00 +0000</atom:modified><guid>https://www.chenshaowen.com/en/blog/deepseek-harness-remote-node.html</guid><description>1. Insufficient Context Is the Key Constraint on AI Agent Adoption The quality of an Agent&amp;rsquo;s work depends both on model capability and on the environmental context it can reach.
For development and operations, the harder part is that the environment is often fragmented: logs live on production, docs in a knowledge base, code in a Git repository.</description><dc:creator>微信公众号</dc:creator><category>AI</category><category>DeepSeek Harness</category><category>Agent</category><category>Remote Execution</category><category>R&amp;D</category></item></channel></rss>