<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>Agent Team - 标签 - HAKULA†CHANNEL</title><link>https://hakula.xyz/tags/agent-team/</link><description>Agent Team - 标签 - HAKULA†CHANNEL</description><generator>Hugo -- gohugo.io</generator><language>zh-CN</language><managingEditor>i@hakula.xyz (Hakula)</managingEditor><webMaster>i@hakula.xyz (Hakula)</webMaster><lastBuildDate>Fri, 10 Apr 2026 19:39:00 +0800</lastBuildDate><atom:link href="https://hakula.xyz/tags/agent-team/" rel="self" type="application/rss+xml"/><item><title>LLM Intro: From the Basics to Context Engineering (Part 2)</title><link>https://hakula.xyz/posts/tutorial/llm-intro/part-2/</link><pubDate>Fri, 10 Apr 2026 19:39:00 +0800</pubDate><author>Hakula</author><guid>https://hakula.xyz/posts/tutorial/llm-intro/part-2/</guid><description><![CDATA[<div class="featured-image">
                <img src="https://hakula-1257872502.file.myqcloud.com/images/3/article-covers/b4115b56-08d5-49ae-93c6-6cbb09ca4529_129430356.webp" referrerpolicy="no-referrer">
            </div><p>The second part of the context engineering series. <a href="../part-1/" rel="">Part 1</a> covered the foundations: what an LLM is, how it becomes an agent, and the seven layers of configuration (CLAUDE.md, hooks, MCP, skills, plugins) that make it production-ready. This part picks up where we left off — with subagents, agent teams, worktree isolation, and the context management machinery that keeps it all running as sessions scale. We close with a look at how the broader open-source ecosystem is converging on the same orchestration patterns from different directions.</p>]]></description></item></channel></rss>