This repository is a comprehensive collection of JavaScript interview questions and answers, serving as an educational resource for developers preparing for technical interviews. It consists of hundreds of questions organized by topic and difficulty, each with detailed explanations, code examples, and further reading references. The content is structured with metadata enabling categorization, filtering, and multilingual support (English, Portuguese, Chinese). The repository includes automated systems for generating the README from structured data, validating content quality, and managing translations. As a public mirror of GreatFrontEnd's main repository, it provides a searchable, well-organized knowledge base covering core JavaScript concepts, web APIs, security, performance optimization, testing, and design patterns.
The AIMLInterviews repository is primarily an interview preparation tool that centers around an MCP (Model Context Protocol) server. This server turns any MCP-compatible AI assistant into a spoiler-free interview coach by providing tools to list problems, give progressive hints, review answers, and generate learning or company-specific preparation plans. The server dynamically builds an in-memory catalog by scanning markdown files in the src/ and cn/ directories, extracting problems and sections based on heading patterns. Beyond the server, the repository contains extensive educational content including markdown guides, Jupyter notebooks for ML algorithm implementations, and solution code with tests, all aimed at AI/ML interview readiness.