Awesome interview questions
A curated collection of technical interview question lists across programming languages, frameworks, databases, and CS topics.
What is Awesome interview questions?
Awesome Interviews is a curated GitHub repository that serves as a meta-list of technical interview question collections. It organizes links to interview resources—questions, answers, coding exercises, and guides—across hundreds of technologies and computer science topics, helping developers prepare for job interviews systematically.
Software developers, engineers, and computer science students preparing for technical interviews at tech companies, especially those seeking structured study materials across multiple tech stacks.
It saves time by aggregating scattered interview resources into a single, well-organized repository, covering both niche and mainstream technologies with community-vetted links, all under an open-source, contribution-friendly model.
Overview
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
Use Cases
Best For
- Finding interview questions for a specific programming language like Python or JavaScript
- Studying algorithm and data structure problems before coding interviews
- Preparing for framework-specific interviews (e.g., React, Angular, Django)
- Exploring system design and DevOps interview questions
- Practicing database and SQL interview scenarios
- Getting curated lists of questions for senior-level positions
Not Ideal For
- Developers needing interactive coding practice with real-time feedback
- Teams requiring guaranteed up-to-date questions for fast-moving tech stacks
- Individuals seeking personalized, adaptive study plans or mock interview simulations
- Projects that depend on integrated progress tracking or assessment tools
Pros & Cons
Pros
The README shows over 50 categories, from Android to Data Science, organizing questions by technology and CS domains for efficient browsing.
It encourages contributions via open-source guidelines, allowing crowdsourced updates to interview materials across many niches.
Includes resources for beginners to senior developers, with coding exercises and guides, as noted in the Key Features.
Spans frontend, backend, DevOps, and more, evidenced by sections like Blockchain, Security, and Data Science in the table of contents.
Cons
The README explicitly states 'This project is no longer actively supported,' risking outdated or broken links.
As a meta-list, it aggregates external sources without curation for accuracy or relevance, leading to variable resource quality.
Lacks interactive features like code editors or mock interviews found on dedicated platforms, limiting hands-on preparation.
Frequently Asked Questions
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