Miscellaneous articles including management perspectives, viewpoints, and other topics.
85% of developers use AI coding tools, yet 43% of enterprises abandon AI projects due to ‘lack of technical maturity.’ The problem isn’t the tool—it’s that your codebase isn’t ready. Here’s a 5-level engineering foundation checklist.
85% 開發者在用 AI 工具，但 43% 企業因「技術成熟度不足」放棄 AI 專案。問題不在工具，而是 codebase 還沒準備好。5 層工程地基檢查，讓你知道團隊卡在哪一層。
The shift from Spec-driven to Intent-driven isn’t just about new tools—it’s a fundamental change in how we approach software development.
從 Spec-driven 到 Intent-driven，不只是工具的改變，而是開發思維的典範轉移。
AI can write 500 lines of code. But that senior engineer spent 10 minutes reviewing it and found the critical bug. Those 10 minutes—that is where your value lies in the AI era.
AI 可以寫 500 行代碼。但那個 Senior 花 10 分鐘 review，發現了關鍵問題。那 10 分鐘，就是 AI 時代工程師最值錢的東西。
Your boss asks if you should hire an AI consultant. How do you respond? This article covers failure rate data, industry profit structures, a self-assessment framework, and scripts for reporting to management.
老闆問你要不要找 AI 顧問，你該怎麼回答？這篇整理了失敗率數據、產業獲利結構、自評框架，還有跟主管報告時可以用的話術。
AI can write meeting notes, organize requirements, and track progress—so what’s left for PMs? This article examines market data, big tech job descriptions, and salary structures to explore where PM value is shifting and how you might think about your next move.
AI 能寫會議紀錄、整理需求、追蹤進度——那 PM 還剩什麼？這篇從市場數據、大廠 JD、薪資結構切入，聊聊 PM 的價值正在往哪裡移動，以及你可以怎麼思考自己的下一步。