tech-interview-handbook open source analysis

Curated coding interview preparation materials for busy software engineers

Project overview

⭐ 136595 · TypeScript · Last activity on GitHub: 2025-11-18

GitHub: https://github.com/yangshun/tech-interview-handbook

Why it matters for engineering teams

The tech-interview-handbook repository addresses a common challenge for software engineers preparing for coding interviews by providing a well-organised collection of algorithm and system design questions alongside behavioural interview guidance. It is particularly suited for engineering teams focused on roles such as software developers, backend engineers, and system architects who need a practical and reliable resource to sharpen their problem-solving skills. The project is mature and widely adopted, reflecting its reliability as a production ready solution for interview preparation. However, it is not the best choice for teams seeking a fully customisable or self hosted option for interview platforms or those requiring integration with internal HR systems, as it primarily serves as a curated study guide rather than a complete interview management tool.

When to use this project

This open source tool for engineering teams is ideal when preparing candidates for technical interviews or refreshing core algorithm knowledge. Teams should consider alternatives if they need a more interactive or integrated platform that supports live coding assessments or detailed candidate tracking.

Team fit and typical use cases

Software engineers, technical leads, and engineering managers benefit most from this resource by using it to prepare for or conduct coding interviews. It is commonly employed in teams building products that require strong algorithmic thinking and system design skills, such as fintech platforms, SaaS applications, and large-scale web services.

Topics and ecosystem

algorithm algorithm-interview algorithm-interview-questions algorithms behavioral-interviews coding-interviews interview-practice interview-preparation interview-questions system-design

Activity and freshness

Latest commit on GitHub: 2025-11-18. Activity data is based on repeated RepoPi snapshots of the GitHub repository. It gives a quick, factual view of how alive the project is.