資料來源#
- A Field Guide to Fable: Finding Your Unknowns
- Anthropic's Boris Cherny: Why Coding Is Solved, and What Comes Next
- How Anthropic's product team moves faster than anyone else | Cat Wu (Head of Product, Claude Code)
- Loop Engineering
- Thread by @AndrewYNg
摘要#
Claude Code 的創作者兼技術主管，任職於 Anthropic。他以工程師為背景，也是 Programming TypeScript 一書的作者。2024 年底透過內部孵化器「Anthropic Labs」加入 Anthropic（這個孵化器也孕育了 Claude Code、MCP 與 Anthropic 桌面應用程式，之後解散；到 2026 年中，在 Mike Krieger 領導下以「第二回合」的名義重新組建）。在 Cat Wu 出席時（2026 年 4 月），他是 Lenny's Podcast 歷史上最受聽眾喜愛的來賓。
值得注意的主張與立場#
- 對他而言，coding 已經解決。 他 100% 透過 Claude Code 撰寫程式；曾創下單日 150 個 PR 的紀錄。但這對非常大型的程式碼庫或分布外語言而言，尚未完全成立。
- 以手機驅動的工作流程。 現在大部分工作都透過 iOS Claude app 完成；同時運行約 5–10 個工作階段，白天有「幾百個」代理程式，夜間則有「幾千個」。
- 迴圈就是未來。 大量使用
/loop（由 Claude 排程的 cron jobs）來照看 PR、修復 CI、聚類 Twitter 回饋。他認為 Agent Loop Pattern 與平行代理程式扇出，是下一個 harness 原語（參見 Harness Shrinkage as Models Improve）。到了 2026 年 6 月，這個立場進一步凝聚成 Loop Engineering 的論點：「我不再 prompt Claude。我有正在運行的 loops，它們會 prompt Claude 並想辦法判斷該做什麼。我的工作就是寫 loops。」 - 為下一個模型打造。 他在 2024 年底打造 Claude Code 時，就知道它還沒有 PMF；PMF 於 2025 年 5 月隨 Opus 4 到來，之後每次發布新版本都帶來變化（4.5 → 4.6 → 4.7）。
- 跨學科的通才。 Claude Code 團隊的每個成員都寫程式——包括工程經理、PM、設計師、資料科學家、財務人員與使用者研究員（參見 Engineer PM Convergence）。
- 印刷機類比。 他認為 Printing Press Software Democratization 是理解 AI 輔助軟體建造的恰當歷史類比。
工作風格（根據 Cat Wu 的描述）#
Cat Wu（Claude Code 與 Cowork 的產品主管）形容 Boris 是設定 3–6 個月願景的「產品遠見者」；她將願景轉化為近期路徑，並負責跨職能協調。他們估計彼此有 80% 的心智同步，剩下的 20% 則分配給各自負責的領域。這種分工「出奇地模糊」——正是團隊內 Engineer PM Convergence 的典型樣貌。
關鍵引言#
- 「迴圈現在就是未來。如果你還沒試過，我非常、非常推薦你試試。」
- 「軟體將會完全民主化，任何人都能做……我認為，即使在今天，最適合撰寫會計軟體的人也不是工程師，而是一位非常優秀的會計師。」
- 「如果你是從零開始，那麼你可以從根本上以 AI 原生的方式建造。」
相關連結#
- Claude Code — 創建並領導這項產品
- Cat Wu — 產品主管搭檔
- Anthropic — 雇主
- Agent Loop Pattern — 最重度的使用者，也是主要倡議者
- Loop Engineering — 「我的工作就是寫 loops」是這門學科命名所依據的兩句實務工作者引言之一
- Engineer PM Convergence — 將自己的團隊描述為原型
- Seven Powers Applied to AI — Acquired 聽眾對哪些護城河能在 AI 時代存續的看法
- Printing Press Software Democratization — 他的詮釋框架
- Harness Shrinkage as Models Improve — 預測 Claude Code「一年後可能只剩 100 行程式碼」
- Compute Allocator — 「對我而言，coding 已經解決」是前提；Thariq Shihipar 的 allocator 詮釋則為這件事成真後仍留下的角色命名
- Building Is Cheap, Arguing Is Expensive — 與 Fiona Fung 討論重構方法時，透過生成三個真實 PR 取代在白板上討論
- Vibe Coding vs. Agentic Engineering — Karpathy 平行發展出的「coding 已經解決」論述；兩人都把自己視為案例研究
- The Three Loops of AI-Native Building — Andrew Ng 將「loop engineering」成為流行語歸功於他（以及 Peter Steinberger），接著為其劃定界線：他的 loops 是三個迴圈中最內層的那一個
- Unknowns as the Agentic Bottleneck — Thariq Shihipar 將他稱為低未知數的典範：「對我而言，他們顯然知道自己想要什麼細節……但他們也會假設未知數」
資料來源#
- Anthropic's Boris Cherny: Why Coding Is Solved, and What Comes Next — Sequoia AI Ascent 2026 訪談
- How Anthropic's product team moves faster than anyone else | Cat Wu (Head of Product, Claude Code) — Lenny's Podcast（作為合作夥伴引用）
- Thread by @AndrewYNg — 與 Steinberger 一同獲譽為推廣「loop engineering」的人（
practitioner-opinion） - A Field Guide to Fable: Finding Your Unknowns — 被引用為未知數很少的 agentic coder 範例（
practitioner-opinion）
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