<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>研究报告 on Lost Temple</title><link>https://cloudcold.ai/tags/%E7%A0%94%E7%A9%B6%E6%8A%A5%E5%91%8A/</link><description>Recent content in 研究报告 on Lost Temple</description><generator>Hugo</generator><language>en</language><lastBuildDate>Thu, 18 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://cloudcold.ai/tags/%E7%A0%94%E7%A9%B6%E6%8A%A5%E5%91%8A/index.xml" rel="self" type="application/rss+xml"/><item><title>智能体编程与专业知识的持续回报 — Anthropic 研究解读</title><link>https://cloudcold.ai/posts/2026-06-18-claude-code-expertise-anthropic/</link><pubDate>Thu, 18 Jun 2026 00:00:00 +0000</pubDate><guid>https://cloudcold.ai/posts/2026-06-18-claude-code-expertise-anthropic/</guid><description>Anthropic 用 40 万份 Claude Code 会话证明：决定 Agent 使用效果的不再是编程能力而是领域知识。数据可信，但成功定义偏软、排除了程序员主战场，需审慎读 framing。</description></item></channel></rss>