Summary QDLeader is a systematically organized, continuously updated frontend knowledge base for developers. It consolidates interview questions, practical solutions, and core concepts across popular technologies like Vue, React, TypeScript, and Node.js, addressing the complexity of the frontend landscape. The project offers a centralized, searchable resource for learning and skill enhancement, featuring AI-powered search capabilities.

How It Works This project functions as a curated repository, meticulously categorized by technology stack (Vue, React, TS, Node.js, Git, etc.) and topic (interviews, tips, components). Content is updated daily. A key differentiator is its integration with an MCP server, enabling AI assistants (Cursor, Claude Desktop) to intelligently search and retrieve information directly from the knowledge base, offering a novel interaction method.

Quick Start & Requirements Clone the repository: git clone https://github.com/qdleader/qdleader.git. No specific non-default prerequisites are listed for browsing markdown files. Utilizing the AI enhancement requires Node.js and npm/npx for the qdleader-mcp command, plus compatible AI assistants configured with the provided MCP server details.

Highlighted Details

• Daily Updates: Consistent addition of interview questions, knowledge points, and practical insights.
• Comprehensive Coverage: Encompasses Vue, React, TypeScript, Node.js, Git, build tools, CSS, mobile/mini-program development, AI tools, and algorithms.
• AI-Enhanced Search: Integrated MCP server allows AI assistants to perform intelligent searches and retrieve specific documentation sections.
• Practical Focus: Includes real-world project problem-solving, optimization techniques, and lesser-known project knowledge.

Maintenance & Community Community contributions are welcomed via GitHub Issues and Pull Requests. A WeChat public account (qdleader) provides access to a technical exchange group for developer discussion and resource sharing.

Licensing & Compatibility No specific open-source license is mentioned in the provided README. This lack of explicit licensing creates ambiguity regarding usage rights, potentially restricting commercial use or integration into proprietary projects.

Limitations & Caveats The primary limitation is the absence of a declared software license, creating ambiguity regarding usage rights. The AI enhancement feature requires specific third-party AI tools and their configuration. Content freshness depends on ongoing maintainer activity.