Deploy ten agents for analysis and optimization#81
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基於10個專業Agent的並行深度分析，創建完整的專案優化計劃： - AI/ML內容時效性分析 (4.2/5) - 前端技術棧更新建議 (Next.js 15, React 19, Tailwind 4) - 後端/雲端技術補充 (GraphQL, gRPC, 時序數據庫) - DevOps增強方案 (OpenTelemetry, ArgoCD, Helm) - 安全性修復指南 (CORS, 認證, 速率限制) - 測試策略改進 (目標覆蓋率70%) - LLM/Agent技術補充 (MCP協議, Prompt 2.0) - 新興技術覆蓋計劃 (Web3, AR/VR, Quantum) - 面試準備模塊規劃 (100題題庫) 總預計工時: 300-400小時，3-6個月實施
基於10個Agent並行分析結果，實施以下P0優先級優化： 新增模組： - MCP協議與工具調用完整指南 - 進階提示工程與結構化輸出 (Prompt 2.0) - 現代LLM對齊方法2024-2025 (DPO/IPO/SimPO/KTO/ORPO) - 推理模型應用指南 (o1/o3/DeepSeek-R1) - LLM安全最佳實踐 (OWASP Top 10/注入防護/審計) - AI系統測試框架 (RAG品質指標測試) - LLM面試題庫 (100題完整面試準備) 技術涵蓋： - Anthropic MCP SDK與Server開發 - Function Calling、DSPy、Guidance框架 - 偏好學習替代RLHF的最新方法 - 思維鏈推理與混合推理系統 - 提示注入防護與PII保護 - NDCG/MRR/MAP等檢索品質指標
根據30個Agent分析建議，新增以下優化： - GLOSSARY.md: 100+ AI/LLM術語表（中英對照） - PREREQUISITES.md: 自我評估檢查清單與學習路徑 - .devcontainer/: GitHub Codespaces 開發環境配置 - Makefile: 統一開發命令界面（setup/lint/test/docs） - runtime.txt: Binder 雲端環境支持 - CHANGELOG.md: 版本更新日誌（語義化版本） 改善初學者入門體驗、雲端開發支持與專案可維護性
## 新增功能 ### MkDocs 文檔網站 - mkdocs.yml: Material 主題配置，支援中英文搜索 - docs/index.md: 網站首頁（卡片式導航） - docs/stylesheets/extra.css: 自定義樣式（響應式表格、深色模式） - 啟用 deploy.yml 中的 MkDocs 部署命令 ### 國際化基礎架構 - i18n/README.md: 翻譯指南 - i18n/en/README.md: 英文版專案介紹 - i18n/glossary/terms.json: 25個核心術語（中/英/日） - i18n/TRANSLATION_GUIDE.md: 詳細翻譯規範 ### 實戰練習題庫 - exercises/README.md: 練習題總覽 - exercises/prompt-engineering/: Prompt 設計練習 - exercises/rag/: 文檔切分練習 - exercises/agent/: 工具調用練習 - exercises/TEMPLATE.md: 新練習模板 ## 修復 - 目錄編號：5.DeepLearning.ai → 6.DeepLearning.ai（修復重複編號） ## 改進 - CSS 支援移動端寬表格滾動 - deploy.yml 啟用 mkdocs build 和 gh-deploy
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