[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-ai-工具":3},{"tag":4,"articles":11,"peer_article_count":12},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":10},"1472752d-721a-41cb-9801-92f3598fceef","AI 工具","ai-工具",6,"AI 工具已不只是聊天介面，而是開始接入開發、資料庫、雲端與研究流程的工作層。從 MCP 連線、沙箱與權限控管，到 Deep Research、Canvas、Codex、Kiro 這類整合型工具，重點在於它們如何影響團隊效率、部署安全與日常協作。","AI tools are moving from chat interfaces into the workflow layer: connected to codebases, databases, cloud services, and research tasks. Topics here include MCP integrations, sandboxing and access control, plus tools like Deep Research, Canvas, Codex, and Kiro that shape team productivity and deployment safety.",[],13]