Practical guides on coding interviews, AI system design, and how to communicate your thinking under pressure.
For years, the gold standard of interview prep was finding a friend—or a stranger on the internet—to do a mock interview with. Today, AI interviewers are nearly indistinguishable from human ones. Which should you use?
You can solve difficult problems perfectly in your living room, but the moment a hiring manager says 'Let's begin,' your mind goes blank. This isn't a coding problem; it's a physiological one.
The technical screen proves you can code. The behavioral interview proves you are someone the team actually wants to work with. Here are the top questions asked by tech companies and how to structure your answers.
Interviewers at AI-first companies aren't asking you to design Twitter anymore. They want to know if you can reason about LLM inference costs, RAG retrieval quality, evaluation pipelines, and the unique failure modes that come with non-deterministic systems.
Most candidates spend 90% of their prep time grinding LeetCode and 0% practicing the thing that interviewers care about most: how you think out loud under pressure. Here's what a complete preparation strategy actually looks like.
You can solve the problem correctly and still fail the interview. The candidate who narrates their thinking clearly — who takes the interviewer along for the ride — almost always wins, even against someone with a more optimal solution.
Reading is step one. Rubduck's spoken interview simulator lets you practice the real thing — with an AI interviewer that listens to how you explain, not just what you code.
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