<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Agent on Lost Temple</title><link>https://cloudcold.ai/tags/agent/</link><description>Recent content in Agent on Lost Temple</description><generator>Hugo</generator><language>en</language><lastBuildDate>Tue, 09 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://cloudcold.ai/tags/agent/index.xml" rel="self" type="application/rss+xml"/><item><title>WTF Is a Loop? — AI 编程 Loop 争议深度解读</title><link>https://cloudcold.ai/posts/2026-06-09-wtf-is-a-loop-ai-coding/</link><pubDate>Tue, 09 Jun 2026 00:00:00 +0000</pubDate><guid>https://cloudcold.ai/posts/2026-06-09-wtf-is-a-loop-ai-coding/</guid><description>一条六个词的推文让220万人争论&amp;rsquo;Loop&amp;rsquo;到底是什么。从 ReAct 到编排 Loop 的五阶段演进，以及为什么 Loop 而不是模型成了成本最高的部分。</description></item><item><title>云端 Agent 基础设施：跟桌面有什么不同 — CREAO 的两个核心教训</title><link>https://cloudcold.ai/posts/2026-06-07-cloud-agent-infrastructure-creao-deep-dive/</link><pubDate>Sun, 07 Jun 2026 00:00:00 +0000</pubDate><guid>https://cloudcold.ai/posts/2026-06-07-cloud-agent-infrastructure-creao-deep-dive/</guid><description>CREAO CTO Peter Pang 详解云端 Agent 基础设施的两个核心教训：环境冻结+Runner热交换解决快慢变更耦合，API Bridge+per-run JWT 解决凭证安全。工程级深度解读含代码级细节、DIY对比、选型框架。</description></item><item><title>Perplexity Agent Skills 设计方法论深度分析</title><link>https://cloudcold.ai/posts/2026-05-10-perplexity-agent-skills-analysis/</link><pubDate>Sun, 10 May 2026 00:00:00 +0000</pubDate><guid>https://cloudcold.ai/posts/2026-05-10-perplexity-agent-skills-analysis/</guid><description>业界首套 Agent Skills 工程化方法论。三层渐进式加载、Description 路由触发器、Gotchas Flywheel 持续精炼闭环。</description></item></channel></rss>