IT industry technical articles covering AWS, Azure, Java, Python, SQL, DevOps, and more.
AI wrote 200 tests for me. All passed. We deployed. Then a bug hit production. The problem wasn’t that AI wrote bad tests—it tested the wrong things. This article shares a simple framework: What stays with humans, How goes to AI.
AI 幫我寫了 200 個測試，全部通過，上線還是出 bug。問題不是 AI 寫錯，是它測的東西根本不是該測的。這篇文章分享一個簡單的框架：What 留給人，How 交給 AI。
GitHub Copilot, Cursor, and Claude Code each have different positioning. But even with the right tool, your productivity might still drop—the key isn’t the tool, it’s whether you have the judgment to wield it. This article analyzes real scenarios for AI-assisted development, common problems, and what kind of people can truly use these tools well.
GitHub Copilot、Cursor、Claude Code 各有定位。但工具選對了，效率還是可能變差——關鍵不在工具，在於你有沒有「判斷力」來駕馭它。這篇文章分析 AI 輔助開發的真實場景、常見問題，以及什麼樣的人能真正用好這些工具。
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。
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。
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.
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。