技術人寫給技術人 — Cloud Architecture · DevOps · AI 觀察筆記
Technical writing for technical people. Field-tested judgement frameworks, not opinion.
LLM-generated Traditional Chinese often mixes in Simplified Chinese vocabulary, and Taiwan readers spot it immediately. By adding automated checks to the CI/CD pipeline with the zhtw tool, teams can catch semantic errors before deployment and keep the product experience consistent.
LLM 生成的繁體中文常混用簡中詞彙，台灣讀者一眼便知。透過 zhtw 工具在 CI/CD 流程中加入自動化檢查，可將語意錯誤攔截在部署前，確保產品體驗的一致性。
A green dashboard doesn’t mean the system is safe. When LLM latency spikes or vector database states become inconsistent, traditional monitoring often fails. This article explores how to shift from “prevention” to “resilience validation,” and provides a practical guide to building a fault injection framework during AI adoption.
儀表板綠燈不代表系統安全。當 LLM 延遲飆升、向量資料庫狀態不一致時，傳統監控往往失效。本文探討如何從「預防」轉向「韌性驗證」，並提供在 AI 導入期建立故障注入框架的實戰指南。
Anthropic engineers shared at a Taipei Meetup how hooks and automation can productize CI’s feedback loop, reducing waiting and manual rework.
Anthropic 工程師在臺北 Meetup 分享：如何透過 hooks 與自動化機制，把 CI 的回饋迴路產品化，減少等待與人工重工。
When Design System client needs start overlapping, a flat Preset architecture can collapse into exploding maintenance costs. This post explores how a three-layer decoupled architecture of Style, Color, and Industry turns maintenance costs from exponential growth into modular work, enabling Design Systems to scale.
當 Design System 的客戶需求開始交叉，扁平的 Preset 架構會陷入維護成本爆炸的困境。本文探討如何透過 Style、Color 與 Industry 三層解耦架構，將維護成本從指數增長轉為模組化，實現設計系統的規模化。
PR merge count doubled — and so did production rollbacks. After adopting AI tools, one team watched weekly merges climb from 32 to 71, while monthly rollbacks jumped from 2 to 5. Every rolled-back PR had passed CI. AI accelerated the coding part, but the feedback net of review and testing didn’t become denser to match. This post breaks down the three-layer architecture of SDLC, DevOps, and CI/CD, and looks at which layer AI should be placed in.
PR merge 速度翻倍，rollback 次數也跟著翻倍。AI 加速的是寫程式碼那一段,但 review 與測試的反饋網沒跟著加密。本文拆解 SDLC、DevOps、CI/CD 三層架構,看 AI 該被擺進哪一層。