A curated collection of lists containing technical interview questions for software developers across various technologies.
Awesome Interviews is a curated GitHub repository that aggregates lists of technical interview questions and study materials for software engineering roles. It solves the problem of scattered interview preparation resources by providing a single, organized source covering numerous programming languages, frameworks, and computer science fundamentals.
Software developers, engineers, and computer science students preparing for technical job interviews at various experience levels, from beginners to senior roles.
Developers choose this resource because it offers an unparalleled breadth of categorized questions in one place, is community-maintained to ensure relevance, and follows the trusted 'awesome list' format for quality and organization.
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Covers over 50 technologies and domains, from Android to Vue.js and Algorithms to DevOps, as shown in the detailed table of contents, providing a one-stop-shop for diverse interview topics.
Open for contributions via guidelines in the README, allowing the list to expand with industry-relevant resources and maintain a crowd-sourced, evolving nature.
Includes links to external articles, GitHub repositories, coding exercises, and Q&A guides, offering multiple learning approaches beyond just text-based questions.
Follows the 'awesome list' philosophy with logical categorization by technology and domain, making it easy to navigate and target specific preparation areas.
The README explicitly states 'This project is no longer actively supported,' leading to a high risk of outdated links, broken resources, and stale content.
As a mere aggregation of external links, there's no validation of accuracy, relevance, or difficulty, forcing users to manually vet each resource for reliability.
It lacks built-in coding environments, answer explanations, or progress tracking, requiring users to seek separate platforms for hands-on practice and feedback.