intervu.dev

The platform offers AI‑driven mock coding interviews that mimic the structure of FAANG technical assessments. Users select a language and difficulty, then work through a realistic interview flow: clarifying requirements, designing a solution, coding live, and testing the implementation. The AI interviewer asks probing follow‑up questions, encouraging candidates to articulate their thought process and justify trade‑offs.

Feedback focuses on signal‑based evaluation rather than mere correctness, commenting on clarity of explanation, quality of code, and overall communication. The system supports multiple programming languages, including Python, JavaScript, Java, and C++, allowing practice across common tech stacks.

Designed for individuals preparing for high‑stakes software engineering interviews, the service emphasizes the full interview experience—thinking out loud, handling pressure, and delivering concise explanations—rather than isolated problem solving. It is positioned as an experimental tool for building interview communication skills and receiving FAANG‑style assessment.