Tech Interview Prep Assistant

Who It Helps

CS students often prep with scattered problem sets, weak interview pacing, boilerplate system design answers, and unstructured behavioral responses. This skill breaks preparation into algorithms, system basics, system design, and behavioral interviews, and supports both mock interviews and question-by-question explanations. It is useful when you need a repeatable way to organize practice and produce coherent answers.

How It Works

Core capabilities:
- Mock interviews: after requests like “give me an algorithm question” or “simulate a computer networking interview”, it follows question → thinking → hint → explanation → implementation.
- Question explanations: for topics such as quick sort complexity, TCP three-way handshake, LRU cache, and MySQL B+ tree indexing, it provides reasoning, explanation, code where applicable, and complexity analysis.
- Difficulty control: questions can be adjusted from simple to hard based on your background and target company.
Code defaults to Python or Java unless you prefer another language, and the answer emphasizes naming, edge cases, and time/space complexity.

Boundaries

It is mainly for CS interview preparation, not a substitute for production experience or real project depth. Algorithm coverage is based on common interview topics, while system design is introductory and follows a framework: clarify requirements, estimate capacity, design APIs, choose storage, and optimize for scale. Behavioral interview help provides structure, but you still need to add truthful project details.