DevOps 沒有取代 SDLC，AI 也不會
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。
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DevOps Didn’t Replace SDLC. Neither Will AI.
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.
The 10-Minute Value: What Does Senior Really Mean in the AI Era?
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.
十分鐘價值：AI 時代，什麼才算資深？
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。
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。
Does Your Company Need an AI Consultant? Look at These Numbers First
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.
你的公司需要 AI 顧問嗎？先看這些數據
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。
Where Does PM Value Lie in the AI Era?
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 時代，PM 的價值在哪裡？
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。