hexlet/ru-test-assignments

Тестовые задания для самостоятельного выполнения от разных it компаний

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Summary Information

Updated 33 minutes ago
Added to GitGenius on September 9th, 2026
Created on March 30th, 2017
Open Issues & Pull Requests: 0 (+0)
GitHub issues: Enabled
Number of forks: 948
Total Stargazers: 6,773 (+0)
Total Subscribers: 250 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 38.2 hours
Mean response time: 54.1 days
90th percentile: 141.9 days
Tracked items: 12

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Detailed Description

Ru-test-assignments is a curated collection of real technical interview assignments from IT companies.

The project addresses the need for authentic practice material when preparing for technical interviews and building a portfolio. It aggregates actual test assignments used by companies across multiple specializations, allowing candidates to practice under realistic conditions. The collection spans roles from internships to senior positions and covers diverse technical domains including frontend, backend, mobile development, data analysis, DevOps, and quality assurance. The approach is straightforward: candidates select assignments matching their target role, complete them as if in a real hiring process with proper version control and documentation, and learn from the absence of provided solutions.

Developers preparing for job interviews should use this collection to practice with genuine company assignments rather than generic coding challenges. The project suits anyone seeking to strengthen their portfolio or prepare for technical interviews across various specialization levels and domains. The repository explicitly avoids including solutions, as the absence of answers is what makes the practice valuable for other candidates.

The project accepts community contributions including new assignments, updated links, and corrections. Contributions must maintain alphabetical ordering of companies within each specialization section and must include only assignment descriptions without solutions. The maintainers prefer locally stored assignment descriptions over external links to ensure long-term availability.