AI 寫的 UI 為什麼總差一點?因為沒人告訴它什麼算好
AI 生成的 UI 品質參差不齊,因為缺乏具體約束。UI Skills 將模糊的最佳實踐轉化為可驗證的規則。解析其設計模式,教你建立團隊專屬的 Skill 約束系統。
AI 生成的 UI 品質參差不齊,因為缺乏具體約束。UI Skills 將模糊的最佳實踐轉化為可驗證的規則。解析其設計模式,教你建立團隊專屬的 Skill 約束系統。
AI-generated UI quality is inconsistent because it lacks concrete constraints. UI Skills turns vague best practices into verifiable rules. This post analyzes its design patterns and shows you how to build a team-specific Skill constraint system.
Junior 提交了 PR,AI review 吐出一份 40 頁的報告。120 個標記中,Senior 看了 20 分鐘,發現 80% 是風格,15% 是誤報。當警告太多,高信賴度風險就被淹沒了。PR review 有兩個特殊結構,讓它特別吃多 Agent 交叉驗證的紅利。
A junior engineer submitted a PR, and the AI review returned a 40-page report. Among 120 flags, a senior engineer spent 20 minutes reviewing them and found that 80% were style comments and 15% were false positives. When there are too many warnings, high-confidence risks get buried. PR review has two special structural properties that make it especially benefit from multi-agent cross-validation.