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    <description>Doro 的個人筆記摘要與外部素材整理（AI / Agent 工程、投資理財等）</description>
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    <item>
      <title>AI 改 code 一直改 A 壞 B？你缺的是這五個步驟</title>
      <link>https://digest.dorowu.cc/2026-07-28-yt-ai-code-fix-a-break-b/summary.html</link>
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      <pubDate>Wed, 29 Jul 2026 00:00:00 +0000</pubDate>
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      <description>Brownfield（在別人的 codebase 裡動刀）用 AI 的五步流程：先看懂再動手、把既有規矩寫成 XML guardrail、小步 review、回歸驗證；以及為什麼「決策活沒有外包版」</description>
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    <item>
      <title>Loop Engineering 解析，大神都不寫 prompt 了？</title>
      <link>https://digest.dorowu.cc/2026-07-28-yt-loop-engineering/summary.html</link>
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      <pubDate>Wed, 29 Jul 2026 00:00:00 +0000</pubDate>
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      <description>Addy Osmani 的 Loop Engineering 框架：Trigger + Verifiable Goal 兩問、rubric 與二元清單、loop 失控三問題三規則，以及作者為何主張「大多數人現在不需要 loop」</description>
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    <item>
      <title>15 分鐘看完 Google Vibe Coding / Agentic Engineering 開發課 Day 1</title>
      <link>https://digest.dorowu.cc/2026-07-28-yt-google-vibe-coding-agentic-engineering-day1/summary.html</link>
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      <pubDate>Wed, 29 Jul 2026 00:00:00 +0000</pubDate>
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      <description>Google 五天課程 Day 1 摘要：vibe coding 是光譜不是開關、context engineering 六類、Agent = Model + Harness、token 經濟學 CapEx vs OpEx</description>
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    <item>
      <title>20 分鐘看完 Google AI 課程 Day 2+3 精華：MCP, A2A, Skills 解析</title>
      <link>https://digest.dorowu.cc/2026-07-28-yt-google-ai-course-day2-3-mcp-a2a-skills/summary.html</link>
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      <pubDate>Wed, 29 Jul 2026 00:00:00 +0000</pubDate>
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      <description>Google AI 課程 Day 2+3 摘要：MCP 統一連接方式、A2A 為何無法被 MCP 取代、Skill 進 production 的四種失敗與四道防線、Meta-Skill 四分類</description>
    </item>
    
    <item>
      <title>一部影片看完 Stanford AI 系統課程，從 LLM 到 Agentic Workflow</title>
      <link>https://digest.dorowu.cc/2026-07-29-yt-stanford-ai-systems-course/summary.html</link>
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      <pubDate>Wed, 29 Jul 2026 00:00:00 +0000</pubDate>
      <category>ai-agent</category>
      <description>Stanford「Beyond LLM」課程的中文濃縮：縱軸 vs 橫軸的施力點、Prompt Chaining、RAG、deterministic → fuzzy 的心態翻轉、Eval 三維度交叉框架，以及 Multi-Agent 只有的兩個存在理由</description>
    </item>
    
    <item>
      <title>五支 AI Agent 工程影片，先看哪一支</title>
      <link>https://digest.dorowu.cc/2026-07-29-ai-agent-course-reading-order.html</link>
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      <pubDate>Wed, 29 Jul 2026 00:00:00 +0000</pubDate>
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      <description>Google Vibe Coding / Agentic Engineering 課程摘要、兩支延伸影片與一支 Stanford 系統設計課的閱讀順序建議，以及它們合起來真正在講的那件事</description>
    </item>
    
    <item>
      <title>Matt Pocock Skills Workflow：OpenSpec 主從整合</title>
      <link>https://digest.dorowu.cc/2026-07-27-matt-pocock-workflow.html</link>
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      <pubDate>Tue, 28 Jul 2026 00:00:00 +0000</pubDate>
      <category>ai-agent</category>
      <description>比較 Matt Pocock Skills 與 OpenSpec，說明如何以 OpenSpec 管理變更生命週期、以 Matt 強化工程實作。</description>
    </item>
    
    <item>
      <title>把失控的 AI agent 關進牢籠 — OpenShell 的六層 kernel 沙箱，與 Landlock 這塊地基</title>
      <link>https://digest.dorowu.cc/landlock-sandbox-for-ai-agents.html</link>
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      <pubDate>Mon, 29 Jun 2026 00:00:00 +0000</pubDate>
      <category>ai-agent</category>
      <description>NVIDIA OpenShell 把任意 agent / CLI 關進 kernel 級隔離 + 宣告式 policy 的沙箱裡跑。本文讀它的原始碼，深拆 Gateway/Supervisor 架構、實際疊起來的六層 kernel 沙箱、為何檔案隔離選 Landlock 而非 mount namespace、inference router 怎麼讓 agent 拿不到模型 API key、Z3 prover 怎麼守 policy；並用 Go 提案</description>
    </item>
    
    <item>
      <title>oMLX — Apple Silicon LLM 推論伺服器</title>
      <link>https://digest.dorowu.cc/wiki/entities/omlx.html</link>
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      <pubDate>Sat, 06 Jun 2026 00:00:00 +0000</pubDate>
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      <description>oMLX 是專為 Apple Silicon Mac 設計的本地 LLM 推論伺服器，主打 continuous batching、SSD KV cache tiering 與原生 SwiftUI 管理 UI，v0.4.0 完成全面重寫。</description>
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    <item>
      <title>本地 LLM 推論：選型與硬體指南</title>
      <link>https://digest.dorowu.cc/wiki/concepts/local-llm-inference.html</link>
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      <pubDate>Sat, 06 Jun 2026 00:00:00 +0000</pubDate>
      <category>ai-agent</category>
      <description>2026 年消費級硬體跑大型語言模型的完整選型框架：KV Cache 原理、MoE 速度分析、Gemma vs Qwen 決策樹、M5 Pro / Strix Halo / DGX Spark 硬體 Prefill 實測比較。</description>
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    <item>
      <title>從 Code Act 到 Claude Code Dynamic Workflows 深度技術解析</title>
      <link>https://digest.dorowu.cc/code-act-to-dynamic-workflows.html</link>
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      <pubDate>Sat, 06 Jun 2026 00:00:00 +0000</pubDate>
      <category>ai-agent</category>
      <description>沿 CodeAct → Code Mode → PTC → Deep Agents → RLM → Dynamic Workflows 走一遍，補上四個編排原語的速覽，並與 Agent Teams 對照。</description>
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    <item>
      <title>本地 LLM × KV Cache × 硬體：LM Studio、Strix Halo vs DGX Spark vs Apple M5 Pro</title>
      <link>https://digest.dorowu.cc/wiki/sources/2026-06-06-llm-kv-cache-hardware.html</link>
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      <pubDate>Sat, 06 Jun 2026 00:00:00 +0000</pubDate>
      <category>ai-agent</category>
      <description>KV cache 原理、Unified KV Cache、head_dim 差異、Prefill vs Decode 根本差異，以及 Strix Halo、DGX Spark、Apple M5 Pro 的跨平台 prefill 實測比較。</description>
    </item>
    
    <item>
      <title>CRISPY AI 寫程式流程與 Instruction Budget — Dex Horthy 的 RPI 認錯與演進</title>
      <link>https://digest.dorowu.cc/wiki/concepts/crispy-coding-workflow.html</link>
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      <pubDate>Tue, 02 Jun 2026 00:00:00 +0000</pubDate>
      <category>ai-agent</category>
      <description>Dex Horthy 認錯 RPI 三件事，把 AI 寫程式流程演進成 CRISPY 八階段；附 instruction budget（150–200 條指令上限）、垂直切片與「讀程式碼而非讀計畫」原則。</description>
    </item>
    
    <item>
      <title>NVIDIA GTC Taipei 2026 黃仁勳主題演講重點整理</title>
      <link>https://digest.dorowu.cc/2026-06-01-nvidia-gtc-taipei-2026-keynote.html</link>
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      <pubDate>Mon, 01 Jun 2026 00:00:00 +0000</pubDate>
      <category>ai-agent</category>
      <description>Agentic AI 新運算典範、Vera Rubin 與 Vera CPU、Cosmos 3 與 Isaac GR00T——GTC Taipei 2026 主題演講十三段全整理。</description>
    </item>
    
    <item>
      <title>Multi-Agent 架構再探 — 三省六部反模式與業界收斂共識</title>
      <link>https://digest.dorowu.cc/multi-agent-anti-patterns-and-patterns.html</link>
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      <pubDate>Thu, 21 May 2026 00:00:00 +0000</pubDate>
      <category>ai-agent</category>
      <description>2026 業界對 Multi-Agent 的收斂共識：四大反模式（更多 Agent 迷思／三省六部幻覺／固定 workflow ／生產隱藏成本）、Anthropic 三場景五模式、LangChain 四模式、Cognition 寫入單線程、動態子代理生成。</description>
    </item>
    
    <item>
      <title>AI Agent 自動審批（Auto-Approval）系統設計 — 從 Claude Code 與 Codex 學到的七個原則</title>
      <link>https://digest.dorowu.cc/coding-agent-auto-approval-design.html</link>
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      <pubDate>Thu, 21 May 2026 00:00:00 +0000</pubDate>
      <category>ai-agent</category>
      <description>為什麼人類核准靠不住（93% 蓋章疲勞）、Claude Code Auto Mode 兩層防禦 + 兩階段分類器（誤擋 8.5% → 0.4%）、Codex 沙箱先行 + Auto-review（99.93% 自動核准、暫停降低 200×）、七個自動審批設計原則。</description>
    </item>
    
    <item>
      <title>The Founder&apos;s Playbook — 用 Claude 打造 AI-Native 新創</title>
      <link>https://digest.dorowu.cc/the-founders-playbook-claude.html</link>
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      <pubDate>Wed, 20 May 2026 00:00:00 +0000</pubDate>
      <category>ai-agent</category>
      <description>Anthropic 給 founder 的 AI-native 創業手冊摘要：四階段（Idea / MVP / Launch / Scale）的失敗模式、Claude 三介面的分工、可執行 exercise 與案例公司數據。</description>
    </item>
    
    <item>
      <title>00565【等待是最笨的投資策略！你不是神，立即市價買進】</title>
      <link>https://digest.dorowu.cc/learning/2026-05-20-yt-clec-00565-waiting-laziest/summary.html</link>
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      <pubDate>Wed, 20 May 2026 00:00:00 +0000</pubDate>
      <category>investing</category>
      <description>CLEC 2 小時 19 分 live class — be-do-have 心態、多活 20 年勝過 beta 1.2、Term Life 例外、健康保健清單（Steve Jobs 反例）、大陸學員 ETF 配置</description>
    </item>
    
    <item>
      <title>00699 短篇【真正的安全不是沒負債，而是手上永遠有現金】</title>
      <link>https://digest.dorowu.cc/learning/2026-05-20-yt-clec-00699-cash-vs-no-debt/summary.html</link>
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      <pubDate>Wed, 20 May 2026 00:00:00 +0000</pubDate>
      <category>investing</category>
      <description>CLEC 19 分鐘 — 「有借錢又留現金不是脫褲子放屁」、壓力測試三件套（房倒+失業+跌 80%）、房地產積極還款 vs 借淨值留現金、質押門檻各地區</description>
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    <item>
      <title>00564【人生最大的風險不是波動，而是一輩子都沒有資產】</title>
      <link>https://digest.dorowu.cc/learning/2026-05-20-yt-clec-00564-risk-no-asset/summary.html</link>
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      <pubDate>Wed, 20 May 2026 00:00:00 +0000</pubDate>
      <category>investing</category>
      <description>CLEC 2 小時 14 分 live class — be-do-have 心態、巴菲特是災難財不是價值投資、Cat 1-2 千萬到 10 億故事、退休消費最大化、不要把錢放定存</description>
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    <item>
      <title>00698 短篇【維持率 200%，卻差點違約交割！真正的風險是失去主動權】</title>
      <link>https://digest.dorowu.cc/learning/2026-05-20-yt-clec-00698-maintenance-ratio/summary.html</link>
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      <pubDate>Wed, 20 May 2026 00:00:00 +0000</pubDate>
      <category>investing</category>
      <description>CLEC 20 分鐘風險控管 — 30% 現金、不全部劃撥一家、worst case 從最高點跌 80% 計算、維持率 200% = 借了一半 = 高槓桿</description>
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    <item>
      <title>00697 短篇【我花了十年才明白：慢慢變有錢，才是真正的答案】</title>
      <link>https://digest.dorowu.cc/learning/2026-05-09-yt-clec-slowly-rich/summary.html</link>
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      <pubDate>Sat, 09 May 2026 00:00:00 +0000</pubDate>
      <category>investing</category>
      <description>CLEC 35 分鐘短篇：AI 是 PC 革命的 100 倍、立即市價買進、遠離理專/保險經紀、「自己變大樹」才能影響家人</description>
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    <item>
      <title>該用 mem0 還是自捲記憶層？— 一個被問爛但很少人答對的問題</title>
      <link>https://digest.dorowu.cc/2026-05-09-article-mem0-vs-diy.html</link>
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      <pubDate>Sat, 09 May 2026 00:00:00 +0000</pubDate>
      <category>ai-agent</category>
      <description>mem0 vs 自捲：六個選型維度、八個決策場景、三條中間路線、Dashboard 實機巡禮（11 張截圖）、真實成本對照、兩個常見錯誤判斷。</description>
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    <item>
      <title>2026 Agent Memory 全景圖 — 從 Stateless LLM 到記憶層架構</title>
      <link>https://digest.dorowu.cc/2026-05-09-article-2026-agent-memory-landscape.html</link>
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      <pubDate>Sat, 09 May 2026 00:00:00 +0000</pubDate>
      <category>ai-agent</category>
      <description>從 Stateless LLM 到記憶層架構：三層演進、通用框架 vs 自家產品、10 大開源框架選型、工程師該問自己的六個問題。</description>
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    <item>
      <title>Harness Engineering：有時候語言模型不是不夠聰明，只是沒有人類好好引導（李宏毅）</title>
      <link>https://digest.dorowu.cc/wiki/sources/2026-05-08-harness-engineering-li-hung-yi.html</link>
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      <pubDate>Fri, 08 May 2026 00:00:00 +0000</pubDate>
      <category>ai-agent</category>
      <description>李宏毅 1.5h 課程整理：agents.md 反效果、SWE-agent 工具反直覺、steering vector 過度責備致 AI 作弊、verbalized feedback、Lifelong AI Agent / AutoDream、meta-harness（Opus 教 Haiku 寫 agent.md）</description>
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    <item>
      <title>CUA — Computer-Use Agent Infrastructure</title>
      <link>https://digest.dorowu.cc/tech/ai/2026-05-08-cua-computer-use-agent.html</link>
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      <pubDate>Fri, 08 May 2026 00:00:00 +0000</pubDate>
      <category>ai-agent</category>
      <description>trycua/cua 深度技術分析：macOS SkyLight + AX 內部、Windows UIA 實作、Linux Xvfb 替代、三平台對照、agent stack 決策樹</description>
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    <item>
      <title>2026 年投資第一堂課『價值十億元的投資講座』第三章</title>
      <link>https://digest.dorowu.cc/learning/2026-05-07-yt-clec-investment-lecture-ch03/summary.html</link>
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      <pubDate>Wed, 06 May 2026 00:00:00 +0000</pubDate>
      <category>investing</category>
      <description>2026 CLEC『價值十億元的投資講座』第三章（操作配置篇）：5 種資產配置 / 提領率 / 再平衡，附模擬黑箱與覆蓋率批判</description>
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    <item>
      <title>2026 年投資第一堂課『價值十億元的投資講座』第一章</title>
      <link>https://digest.dorowu.cc/learning/2026-05-07-yt-clec-investment-lecture-ch01/summary.html</link>
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      <pubDate>Tue, 05 May 2026 00:00:00 +0000</pubDate>
      <category>investing</category>
      <description>2026 CLEC『價值十億元的投資講座』第一章（世界觀篇）摘要與批判</description>
    </item>
    
    <item>
      <title>2026 年投資第一堂課『價值十億元的投資講座』第二章</title>
      <link>https://digest.dorowu.cc/learning/2026-05-07-yt-clec-investment-lecture-ch02/summary.html</link>
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      <pubDate>Tue, 05 May 2026 00:00:00 +0000</pubDate>
      <category>investing</category>
      <description>2026 CLEC『價值十億元的投資講座』第二章（QQQ 與不要碰的標的）摘要與批判</description>
    </item>
    
    <item>
      <title>Agent Memory：大多數記憶系統不需要向量檢索</title>
      <link>https://digest.dorowu.cc/clippings/2026-04-30-agent-memory-no-vector.html</link>
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      <pubDate>Thu, 30 Apr 2026 00:00:00 +0000</pubDate>
      <category>ai-agent</category>
      <description>五個業界產品（ChatGPT/Claude Code/Anthropic/OpenAI/Mastra）的記憶設計分析，與分層組合的工程代價</description>
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