📄 中文摘要
在使用 Claude Code 或 Cursor 进行编码时，许多开发者会花费时间向 AI 助手解释项目的基本信息，例如数据库选择、身份验证方式和 API 设计规范等。为了提高效率，有人选择手动编写文档、每次会话粘贴上下文或使用特定的提示模板。为了减少重复工作，一位开发者创建了 LORE，一个能够自动读取代码库并提取这些决策的 MCP 服务器。该工具旨在简化与 AI 助手的互动，并提高开发效率。
如何为你的 AI 编码助手提供项目架构的上下文？
📄 English Summary
How do you give your AI coding assistant context about your project architecture?
When using AI coding assistants like Claude Code or Cursor, developers often spend time explaining essential project details such as database choices, authentication methods, and API design conventions. To enhance efficiency, some opt to manually write documentation, paste context in every session, or use specific prompt templates. To reduce repetitive tasks, a developer created LORE, an MCP server that automatically reads the codebase and extracts these decisions. This tool aims to streamline interactions with AI assistants and improve development efficiency.