FAANG Coding Interview Questions is a curated collection of coding, system design, and machine learning interview problems from major technology companies.
The repository addresses the challenge of preparing for technical interviews at top-tier companies by aggregating and organizing interview questions across multiple domains. It structures problems into themed collections including the NeetCode 150 and Blind 75 essential problem sets, company-specific recent questions, system design interview guides, and machine learning preparation materials. The collection spans coding problems in multiple languages, algorithm and data structure challenges, and AI-focused interview content covering large language models and agent building.
Developers preparing for interviews at FAANG and similar companies should use this resource to identify high-frequency problem patterns and company-specific question trends. The repository suits anyone targeting roles at major tech firms, frontier AI labs, or AI-first startups, offering both breadth across companies and depth within specialized areas like system design and machine learning. The collection acknowledges that interview formats have evolved to incorporate AI-assisted rounds where verification and explanation of outputs matter more than raw problem-solving speed.
The project's issue tracker shows active engagement centered on enhancement requests and community contributions, indicating ongoing curation and expansion of the question collections in response to changing interview practices.
