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Mianshiya is a community-driven technical interview preparation platform that hosts a curated database of over 10,000 interview questions across programming domains. It functions as a collaborative Q&A platform where users can browse, filter, and sort questions by difficulty, tags, and type, while also editing and improving answers collectively to build a shared knowledge base.
The main features of liyupi/mianshiya are: Technical Interview Preparation, Answer Curations, Self-Hosted Q&A Platforms, Cross-Device Document Syncs, Cross-Platform Collection Syncing, Collaborative Curations, Interview Question Banks, Interview Questions.
Projects with overlapping indexed features include: indy256/full-stack-developer-interview-questions-and-answers — This repository serves as a comprehensive knowledge base for software engineering interview preparation. It provides a… shfshanyue/daily-question — Daily-Question is a frontend interview preparation platform and technical knowledge base. It provides a structured… mazharmik/interview_ds_algo — This project is an algorithm interview preparation guide and reference library. It provides a curated collection of… forthespada/interviewguide — InterviewGuide is a comprehensive technical interview preparation platform that covers the full spectrum of software… ksundong/backend-interview-question — This project is a backend engineering interview guide and computer science study resource. It provides a curated… wolverinn/waking-up — Waking-Up is a backend interview study guide and computer science knowledge base. It serves as a learning path for…
This repository serves as a comprehensive knowledge base for software engineering interview preparation. It provides a curated collection of technical questions and answers designed to assist developers in reviewing core concepts across the entire software development stack. The project covers a broad range of topics, including full-stack engineering principles, programming language proficiency, and software architecture design. By focusing on high-level system design patterns and technical trade-offs, the content helps candidates prepare for both coding and architectural discussions during p
InterviewGuide is a comprehensive technical interview preparation platform that covers the full spectrum of software engineering recruitment, from foundational computer science concepts through to offer negotiation. It provides structured learning paths across algorithms, operating systems, databases, networking, and programming languages, with a particular emphasis on C++ and Go. The platform aggregates real interview experiences and company-specific questions from major tech employers, offering candidates a searchable database of past written exam problems and detailed accounts of actual int
This project is a backend engineering interview guide and computer science study resource. It provides a curated collection of technical questions and answers focused on server-side architecture, database optimization, and networking fundamentals to prepare for professional software engineering evaluations. The resource functions as a technical reference for studying ACID properties, transaction isolation, and the optimization of relational and non-relational systems. It includes a software architecture reference for analyzing design patterns, dependency injection, and the structural tradeoff
This project is an algorithm interview preparation guide and reference library. It provides a curated collection of solved programming problems and data structure implementations designed for technical interview practice and competitive programming study. The repository distinguishes itself by organizing coding challenges through a system of patterns, difficulty levels, and company-based filtering. It includes instructional resources such as algorithmic concept notes and video explanations to supplement the solution sets. The library covers a wide range of computational areas, including adva