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    <link>https://imitation-alpha.github.io/zh-Hant/blog/</link>
    <description>關於 agentic systems、ML infrastructure 與 tooling 的繁體中文筆記。</description>
    <language>zh-Hant</language>
    <lastBuildDate>Wed, 10 Jun 2026 00:00:00 +0000</lastBuildDate>
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      <title>agent-07 · Loop engineering 是定時運行的 harness</title>
      <link>https://imitation-alpha.github.io/zh-Hant/blog/loop-engineering.html</link>
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      <description>Loop engineering 是裝上時鐘的 harness：schedule、state、spawn 與 hard oracles。難點是選出 loop 無法 game 的 signal。</description>
      <pubDate>Wed, 10 Jun 2026 00:00:00 +0000</pubDate>
      <dc:creator>Arthur Yau</dc:creator>
    </item>
    <item>
      <title>agent-06 · Self-improving AI 是光譜，不是開關</title>
      <link>https://imitation-alpha.github.io/zh-Hant/blog/recursive-self-improving-ai-rubicon.html</link>
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      <description>Self-improving AI 的 spectrum map：pseudo-labels、rewards、AI judges、generated tasks、harness improvement，以及為什麼我們仍接近 Rubicon。</description>
      <pubDate>Tue, 19 May 2026 00:00:00 +0000</pubDate>
      <dc:creator>Arthur Yau</dc:creator>
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    <item>
      <title>agent-05 · Self-correction 有三層：decoding、workflow 與 reasoning</title>
      <link>https://imitation-alpha.github.io/zh-Hant/blog/ai-self-correction-decoding-workflow-reasoning.html</link>
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      <description>AI self-correction 的實用地圖：decoding tricks、workflow feedback、trained reasoning 都需要真實 signal，而不只是 reflection。</description>
      <pubDate>Tue, 19 May 2026 00:00:00 +0000</pubDate>
      <dc:creator>Arthur Yau</dc:creator>
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    <item>
      <title>agent-04 · Harness engineering 才是讓 agent 真正有用的關鍵</title>
      <link>https://imitation-alpha.github.io/zh-Hant/blog/ai-agent-harness-engineering.html</link>
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      <description>面向 agent builders 的 harness engineering：tools、permissions、workflows、feedback、memory 與 verification loops 如何讓 LLM 變得可用。</description>
      <pubDate>Tue, 19 May 2026 00:00:00 +0000</pubDate>
      <dc:creator>Arthur Yau</dc:creator>
    </item>
    <item>
      <title>agent-03 · AI agent 會如何改變研究工作</title>
      <link>https://imitation-alpha.github.io/zh-Hant/blog/ai-agent-research-work.html</link>
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      <description>AI agents 如何改變 research work：first pass 變便宜、verification 變更重要，而 human judgment 移到 problem choice 與 evidence。</description>
      <pubDate>Tue, 19 May 2026 00:00:00 +0000</pubDate>
      <dc:creator>Arthur Yau</dc:creator>
    </item>
    <item>
      <title>agent-02 · Multi-agent systems 是拓樸問題</title>
      <link>https://imitation-alpha.github.io/zh-Hant/blog/ai-agent-multi-agent-interaction.html</link>
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      <description>面向 builders 的 multi-agent topology 地圖：什麼時候該 branch、critique、compete、merge，什麼時候該保持獨立。</description>
      <pubDate>Tue, 19 May 2026 00:00:00 +0000</pubDate>
      <dc:creator>Arthur Yau</dc:creator>
    </item>
    <item>
      <title>agent-01 · Context engineering 是 agent 的工作記憶</title>
      <link>https://imitation-alpha.github.io/zh-Hant/blog/ai-agent-context-engineering.html</link>
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      <description>面向 agent builders 的 context taxonomy：prompt-visible workspace、external memory、compression、bounded observations、sub-agents 與 on-demand skills。</description>
      <pubDate>Tue, 19 May 2026 00:00:00 +0000</pubDate>
      <dc:creator>Arthur Yau</dc:creator>
    </item>
    <item>
      <title>agent-00 · AI agent 是圍繞 LLM processor 建成的 computer system</title>
      <link>https://imitation-alpha.github.io/zh-Hant/blog/ai-agent-systems-hung-yi-lee-summary.html</link>
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      <description>用 computer architecture 重新理解 AI agent：LLM 是 processor，context 是 working set，memory 是 storage，tools 是 I/O，harness 是 OS。</description>
      <pubDate>Tue, 19 May 2026 00:00:00 +0000</pubDate>
      <dc:creator>Arthur Yau</dc:creator>
    </item>
    <item>
      <title>同時駕馭 10+ 個 CLI 程式設計 agent 的設定方式</title>
      <link>https://imitation-alpha.github.io/zh-Hant/blog/orchestrating-coding-agents.html</link>
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      <description>如何用 tmux、Tailscale、iOS 上的 Termius，加上一個小型 PWA 控制台，同時操控 10+ 個並行 CLI 程式設計 agent。</description>
      <pubDate>Tue, 28 Apr 2026 00:00:00 +0000</pubDate>
      <dc:creator>Arthur Yau</dc:creator>
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