<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Anthropic on Lost Temple</title><link>https://cloudcold.ai/tags/anthropic/</link><description>Recent content in Anthropic on Lost Temple</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 06 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://cloudcold.ai/tags/anthropic/index.xml" rel="self" type="application/rss+xml"/><item><title>每个任务都需要一个 Harness：Claude Code 动态工作流深度解析</title><link>https://cloudcold.ai/posts/2026-06-06-harness-claude-code/</link><pubDate>Sat, 06 Jun 2026 00:00:00 +0000</pubDate><guid>https://cloudcold.ai/posts/2026-06-06-harness-claude-code/</guid><description>Anthropic 把 agent 编排计划从 context window 搬进 JavaScript 脚本，用代码确定性替代模型实时判断。深度解析运行时拓扑、三个强化机制、竞品横向对比、Multi-Agent 性能陷阱（-70%）、~15x token 成本、历史类比。</description></item><item><title>Claude Code Dynamic Workflows: 从单兵到千军万马的编排革命</title><link>https://cloudcold.ai/posts/2026-06-04-claude-code-dynamic-workflows/</link><pubDate>Thu, 04 Jun 2026 00:00:00 +0000</pubDate><guid>https://cloudcold.ai/posts/2026-06-04-claude-code-dynamic-workflows/</guid><description>Anthropic Dynamic Workflows 全面解读：脚本驱动千军万马的编排架构，性能提升 90.2%，token 成本暴涨 15 倍。三层编排对比、竞品横向分析、历史类比、成本现实与关键风险。</description></item><item><title>Claude Code 动态工作流深度分析：当 AI 学会给自己写调度器</title><link>https://cloudcold.ai/posts/2026-06-03-claude-code-dynamic-workflows-analysis-guide/</link><pubDate>Wed, 03 Jun 2026 00:00:00 +0000</pubDate><guid>https://cloudcold.ai/posts/2026-06-03-claude-code-dynamic-workflows-analysis-guide/</guid><description>Anthropic 发布 Claude Code 动态工作流的全面深度分析：技术架构、平台战略、竞争格局、历史类比和个性化实操建议。</description></item></channel></rss>