Design System 規模化：Presets、Constraints 與 Components 的三層分層策略
Design System 從 10 個元件成長到 100 個時，維護邊界開始模糊。本文探討如何透過 Presets、Constraints 與 Components 的三層分層策略，在提升開發效率的同時，有效應對規模化帶來的維護挑戰。
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Design System Scaling: A Three-Layer Strategy for Presets, Constraints, and Components
When a Design System grows from 10 components to 100, maintenance boundaries start to blur. This article explores how a three-layer strategy of Presets, Constraints, and Components can improve development efficiency while effectively addressing the maintenance challenges that come with scaling.
Vibe Coding is Fast, But Fixing Chinese Localization Isn’t — Meet zhtw
AI writes code fast, but the Chinese it generates often uses Mainland terminology. zhtw is a CLI tool that converts Simplified Chinese terms to Taiwan-style Traditional Chinese — handling 400 files in seconds.
Vibe Coding 很快，但簡體用語改不完？試試 zhtw
AI 寫程式碼很快，但生成的中文常是簡體用語。zhtw 是一個 CLI 工具，專為 Vibe Coding 時代設計，一個指令就能把整個專案的簡體用語轉成台灣習慣。
AI Enters the Terminal: A Developer’s Guide to Choosing Terminals in 2025
As Claude Code, Copilot CLI, and other AI tools become part of our daily workflow, the criteria for evaluating terminals have fundamentally changed. This guide compares Ghostty, WezTerm, Tabby, Termius, and Royal TSX from an AI workflow perspective.
AI 進入終端機：2025 開發者終端機選擇指南
當 Claude Code、Copilot CLI 成為日常，終端機的評估標準也跟著改變。這篇指南從 AI 工作流的角度，深度比較 Ghostty、WezTerm、Tabby、Termius、Royal TSX 五款終端機，幫助你做出最適合的選擇。
2025 AI Development Tools Landscape: From Coding to Presentations, What’s Worth Your Investment?
84% of developers use AI tools, but research shows actual efficiency may drop by 19%. A complete comparison of the 2025 AI development tool ecosystem: Claude Code, Cursor, Windsurf, Figma AI, v0.dev, and Gamma—helping you decide what’s worth investing in.
2025 AI 開發工具全景圖：從寫程式到做簡報，哪些值得投資？
84% 開發者使用 AI 工具，但研究顯示實際效率可能下降 19%。完整比較 2025 年 AI 開發工具生態：Claude Code、Cursor、Windsurf、Figma AI、v0.dev、Gamma，幫你判斷哪些值得投資。
Not Every Company Should Build RAG—Here’s How to Know
Your boss asks when you can have an AI-powered knowledge base. This article gives you a framework: a 9-point readiness checklist, a decision matrix, and scripts for explaining—in language executives understand—why doing it now might be right or wrong.
不是每間公司都該做 RAG——這是判斷標準
老闆問你「我們什麼時候能有 AI 知識庫」？這篇給你一個框架：9 項就緒度檢核、決策矩陣、以及怎麼用老闆聽得懂的語言，說明為什麼「現在做」可能是對的——或錯的。