Open-source alternatives to Java Interviews

Random questions to ask during interviews.

This repository is a collection of JavaScript coding challenges and a comprehensive interview guide. It provides reference implementations and educational examples designed to help developers master language fundamentals and prepare for technical interviews. The project covers a wide array of specialized implementations, including functional programming patterns like currying and partial application, as well as asynchronous patterns for concurrency control. It also includes practical examples of Document Object Model manipulation and the implementation of common data structures such as stacks

CS interview study sheet

System design interview for IT companies

This project is a technical interview question bank and study resource designed for software engineering interviews focusing on JavaScript. It serves as a curated guide containing technical questions and coding challenges to test proficiency in the language and its runtime. The repository provides a structured collection of core programming concepts and problem solving exercises. It covers frontend technical training and coding interview practice through a series of curated problems and theoretical questions. The content is organized into a topic-categorized information hierarchy using markd

A guide to getting an internship

This project is a comprehensive educational knowledge base designed to support developers in mastering React and its surrounding ecosystem. It serves as a technical interview resource, providing a structured collection of questions and answers that cover core concepts, architectural patterns, and common development challenges. The repository distinguishes itself by offering detailed explanations of fundamental React principles, including component-based composition, the declarative UI paradigm, and state-driven data flow. It provides clarity on complex topics such as the Fiber reconciliation

This repository is a curated knowledge base designed to assist developers in preparing for technical job assessments. It serves as a structured reference for fundamental programming concepts, language mechanics, and functional patterns, providing a collection of common questions and conceptual explanations to support professional development in software engineering. The project distinguishes itself through a community-driven approach, where technical content is refined and updated by contributors using a collaborative revision control workflow. It emphasizes functional programming education,

🟣 Angular interview questions and answers to help you prepare for your next technical interview in 2026.

This project is a comprehensive library of reference implementations for fundamental data structures and algorithms, designed to support technical interview preparation and software engineering assessments. It provides a structured collection of computational techniques for solving complex problems involving arrays, strings, graphs, trees, and mathematical analysis. The library distinguishes itself by offering specialized implementations for advanced topics, including concurrent programming patterns and geometric algorithms. It features thread-safe primitives for managing shared state and tas

InterviewThis is a developer interview question bank and employer evaluation framework. It provides a curated collection of targeted questions and discovery prompts designed to help software engineers audit the technical and cultural environments of prospective employers. The project offers specialized guides for technical due diligence, including assessments of the technical stack, infrastructure, and quality assurance practices. It includes structured frameworks for evaluating engineering culture, development workflows, and operational health, such as on-call expectations and incident respo

This project is a comprehensive technical interview question repository designed to assist software engineers in their professional development. It serves as a structured study guide that aggregates curated questions and answers covering full-stack development, algorithmic challenges, and system design concepts. The resource distinguishes itself by organizing content into specialized technical domains, allowing candidates to focus their preparation on specific skill sets such as data science and machine learning. It provides a centralized library of architectural patterns and complex problem-

This project is a comprehensive interview preparation guide and technical study resource for React. It functions as a frontend engineering curriculum and coding challenge bank designed to help developers master the internal mechanics, patterns, and core fundamentals of the React ecosystem. The resource distinguishes itself by providing a curated collection of technical interview questions, conceptual quizzes, and expert solutions. It includes a bank of coding challenges that can be solved in a browser-based environment with automated test cases and real-time rendering, as well as research int

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This project provides a comprehensive set of coding standards and style guidelines for JavaScript development. It covers fundamental language syntax, formatting conventions, and best practices for managing variables, functions, objects, and modern language features. The documentation serves as a reference for maintaining consistent code quality across projects. In addition to general language standards, the guide includes specific conventions for building and organizing user interface components. These guidelines address structural patterns, component lifecycle management, and stylistic rules

A curated list of awesome AutoHotkey libraries, library distributions, scripts, tools and resources.

This project is a web-based platform designed for creating, managing, and sharing professional resumes. It functions as a structured document builder that integrates artificial intelligence to assist with content generation, editing, and analysis. Users can maintain a collection of resumes, customize their visual presentation through various templates, and export them into multiple formats for job applications. The platform distinguishes itself through its autonomous AI agent capabilities, which can perform research, suggest incremental edits, and apply data patches directly to documents. It

RSpec Best Practices

MLQuestions is a technical interview guide and knowledge base designed for machine learning and computer vision engineering preparation. It provides a curated collection of questions and answers to help users practice technical responses and theoretical knowledge required for engineering screenings and assessments in the AI field. The resource is structured as a markdown knowledge base, storing content in a directory hierarchy to categorize technical topics. This organization allows for versioning and manual editing of the study materials. The content covers a broad range of machine learning

Cheat Sheet for Android Interviews

ZMQ 指南

This project is a comprehensive reference guide and cheat sheet for the Go programming language. It serves as a syntax reference and documentation collection designed for quick lookup of fundamental operators, core language features, and specific code patterns. The resource covers a wide range of technical domains, including Go concurrency primitives, software architecture patterns such as interface embedding, and standard error handling. It provides guides on implementing goroutines and channels to manage parallel execution and asynchronous tasks. The content is delivered as a static site g