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Excited to share new practice resources at algomaster.io to help you go beyond theory and actually implement concepts from system design, low-level design, and concurrency. - Practice System Design (150 problems) - Practice Low-Level Design (100+ problems) - Practice Concurrency (50 problems) Many of the problems are free to practice. For full access and unlimited submissions, you can subscribe to premium. Each problem includes a clear description, input/output examples, hints, starter code, and multiple test cases to validate your solution. Supported languages include: Java, Python, C++, C# and Go. Once you submit your code, you can also use AI-powered code review to identify potential issues and get suggestions for improving your implementation. The problems are connected directly to the relevant sections inside our learning resources, so you can learn a concept and immediately practice implementing it: The goal is to make the learning process more hands-on. Instead of only reading about concepts such as rate limiting, caching, design patterns, thread safety, or synchronization, you can now implement them and test whether your solution actually works. System Design Practice If you want to see how DSA concepts are actually used in real-world systems, going through system design exercises is a great way to connect theory with practical applications. Low-Level Design Practice If you want to get better at turning requirements into clean, maintainable code, low-level design exercises are a great way to practice object-oriented design, design patterns, and structuring real-world applications. Concurrency Practice If you want to understand how multithreaded systems actually work, concurrency exercises are a great way to practice concepts like synchronization, locks, race conditions, and thread safety through real implementations. This feature is still new and experimental, and I’ll continue improving the problem quality, test cases, evaluation, and overall practice experience. If you try it out, please let us know if you have any suggestions or feedback. It will help us make the experience better. Guided Mock Interview This is in addition to the AI-powered mock interview experience for System Design interviews and Low-Level Design Interviews. Here, you work through an interview problem step by step in a realistic interview setting. The AI interviewer asks follow-up questions, challenges your decisions, and provides detailed feedback on your performance. Together, the learning resources, implementation problems, and mock interviews are designed to help you move through the full interview-preparation loop: Learn the concept → implement it → practice explaining your decisions in an interview. Thank you for all the support, and I hope you find these new resources useful.
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