Miscellaneous articles including management perspectives, viewpoints, and other topics.
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。
Learning to prompt won’t help you master AI. The real bottleneck isn’t AI’s capability—it’s your judgment. This article breaks down the four levels of judgment, five sources it comes from, and concrete methods to develop it.
「學會 Prompt 就能駕馭 AI」這句話誤導了很多人。真正的瓶頸不是 AI 的能力，是你的判斷力。這篇文章拆解判斷力的四個層次、五個來源，以及具體的培養方法。
AI excels at executing tests, but struggles with judging ‘what to test’ and ‘whether results are correct.’ QA’s core value is shifting from execution to acceptance—validating AI’s validation. This article analyzes the four most important QA skills in the AI era and the short, medium, and long-term impacts on teams.
AI 擅長執行測試，但不擅長判斷「該測什麼」和「結果對不對」。QA 的核心價值正在從執行轉向驗收——驗證 AI 的驗證。本文分析 AI 時代 QA 最重要的四種能力排序，以及對團隊的短中長期影響。
🌏 閱讀中文版本 By: rajatim Abstract: We celebrate “agile” and “failing fast,” but we seldom talk about the cost of failure. This article explores an ongoing paradigm shift in product development: moving from “Hypothesis-Driven Development” to a “Continuously Evolving Intelligence” formed by the synergy of DevOps, PM, and AI. This is not just a process optimization; … Read more
本文探討一個產品開發的範式轉移：從被動驗證假說，演進為由 DevOps、PM 與 AI 構成的「持續進化智慧」體。文章將闡述這個新範式如何重塑技術人員的價值，並提供一個可執行的架構藍圖，將團隊從功能實現者，升級為自我進化系統的建築師。