[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-開發者":3},{"tag":4,"articles":10,"peer_article_count":11},{"id":5,"name":6,"slug":6,"article_count":7,"description_zh":8,"description_en":9},"9f0b5fa8-aa84-4edf-80ed-527e2d5906d8","開發者",3,"這個標籤聚焦開發者在 AI 時代遇到的實務變化：從 App Store 審查被生成式應用塞車，到 GitHub Copilot 預設資料訓練設定，再到模型評測與透明度爭議。關注它，能看見工具、平台與規則如何直接影響日常開發。","This tag covers the practical side of being a developer in the AI era: App Store review delays from AI-generated apps, GitHub Copilot data-training defaults, and benchmark disputes around models like Llama 4. It matters because platform rules, tooling, and trust now shape day-to-day engineering work.",[],4]