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。
After adopting AI, your boss asks about the results—and you can’t give a straight answer. It’s not because AI doesn’t work. It’s because no one defined what ‘success’ looks like from the start. This article provides a practical acceptance framework: four metrics you can start tracking today, and how to establish a baseline when you have no historical data.
導入 AI 後，老闆問成效如何，你答不出來。不是因為 AI 沒用，而是從一開始就沒有定義「成功」長什麼樣。這篇文章提供一個務實的驗收框架：四個今天就能開始追蹤的指標，以及如何在沒有歷史數據的情況下建立比較基準。
A complete technical implementation plan: Building an AI Testing Agent using LangChain4j, GPT-4o, and Playwright. Includes full code concepts, prompt engineering, state machine architecture, CI/CD integration, and a concrete adoption roadmap.
深度解析如何利用 LangChain4j、GPT-4o 與 Playwright 打造 AI 測試代理人。本文詳細探討在缺乏文檔的大型 Java 遺留系統中，如何透過「探索、診斷、穩定性」三重迴圈機制，實現超越傳統自動化的自主驗收測試，並提供完整的實作代碼與導入路線圖。
Master E2E Testing: Debunk the ‘Ice Cream Cone’ anti-pattern, leverage AI visual regression, and build reliable Playwright strategies for confident deployments.
E2E 測試完全指南。破解 200 個購物車測試案例的迷思，深入解析 AI 視覺回歸與自我修復技術。學習如何結合 Playwright 與單元測試，建立高信心的自動化防護網。
🌏 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。