tech-interview-handbook open source analysis
Curated coding interview preparation materials for busy software engineers
Project overview
⭐ 132963 · TypeScript · Last activity on GitHub: 2025-11-11
Why it matters for engineering teams
The tech-interview-handbook repository addresses the practical need for structured and comprehensive coding interview preparation tailored for busy software engineers. It compiles essential algorithm and system design questions alongside behavioural interview guidance, making it a valuable resource for engineering teams focused on hiring or personal skill development. This open source tool for engineering teams is particularly suited for software engineers, engineering managers, and technical leads who require a reliable, production ready solution to standardise interview practices. While mature and widely adopted, it is not the right choice for those seeking in-depth, role-specific training beyond coding and system design fundamentals or for teams needing a fully customisable, self hosted option with integrated candidate tracking features.
When to use this project
This project is a strong choice when teams want a well-maintained, community-driven repository to prepare candidates for algorithm and behavioural interviews efficiently. Teams should consider alternatives if they require specialised interview content for niche technologies or advanced system design scenarios beyond the scope of this repository.
Team fit and typical use cases
Software engineers and engineering managers benefit most from this repository as it helps standardise interview preparation and evaluation processes. Typically used during recruitment cycles or personal upskilling, it supports roles involved in backend, frontend, and full-stack development. The repository is commonly integrated into hiring workflows for products ranging from enterprise applications to consumer-facing platforms, providing a practical, production ready solution for engineering teams.
Topics and ecosystem
Activity and freshness
Latest commit on GitHub: 2025-11-11. Activity data is based on repeated RepoPi snapshots of the GitHub repository. It gives a quick, factual view of how alive the project is.