liyupi/mianshiya

持续维护的企业面试题库网站,帮你拿到满意 offer!⭐️ 2026年最新Java面试题、前端面试题、AI大模型面试题、AI...

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Summary Information

Updated 25 minutes ago
Added to GitGenius on September 11th, 2026
Created on January 4th, 2022
Open Issues & Pull Requests: 34 (+0)
GitHub issues: Enabled
Number of forks: 1,224
Total Stargazers: 5,871 (+0)
Total Subscribers: 34 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 13.9 days
Mean response time: 217.7 days
90th percentile: 639.1 days
Tracked items: 3

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Issue Activity (beta)

Open issues: 3
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 590 days
Stale 30+ days: 3
Stale 90+ days: 3

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Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

Mianshiya is a web-based interview question bank and practice platform that helps job seekers prepare for technical interviews across multiple programming domains.

The platform addresses the problem of scattered interview preparation resources by centralizing thousands of interview questions with solutions in one place. Rather than searching across multiple websites or following various accounts for curated questions, users can access a comprehensive question bank covering Java, frontend, Python, Go, C++, algorithms, databases, system design, and other technical topics. The approach combines a clean web interface with multi-platform support including a mini-program and IDE plugin, with synchronized progress across devices so users can practice anywhere.

Job seekers preparing for technical interviews across any major programming domain should consider this tool, particularly those targeting large technology companies. The platform suits anyone who wants structured, high-frequency interview questions with quality explanations rather than scattered resources. The project maintains its own live website at mianshiya.com where the full question bank is available for online practice, making it immediately usable without local setup.

The project receives continuous active maintenance with frequent updates to both question content and platform functionality. The team regularly adds new questions reflecting current interview trends and enterprise hiring practices. The codebase is structured as a full-stack TypeScript project combining React frontend with Node.js backend, providing a complete reference implementation for anyone interested in understanding how such a platform is built. The project includes both the production system and a separate teaching-focused version designed to demonstrate step-by-step development practices.