intervu.dev
AI-powered mock interview platform for practicing FAANG-style coding interviews and technical communication.
Score
60
User Rating
3.0
Free/Trial Support
Not Supported
Starting Price
--
Last Updated
Sep 08, 2026
Overview
What is intervu.dev?
intervu.dev is an AI-driven platform designed to simulate FAANG-style technical coding interviews. Unlike traditional platforms that focus primarily on algorithmic correctness, intervu.dev evaluates how candidates think, communicate, and handle pressure. It features an AI interviewer that asks probing follow-up questions and follows a realistic interview flow, including clarifying requirements, system design, live coding, and testing. The platform provides signal-based feedback on communication clarity, technical trade-offs, and code quality to help users bridge the gap between solving LeetCode problems and passing real-world interviews.
What is intervu.dev used for?
Tags
Top Features
- AI interviewer who will ask in-depth questions
- Real FAANG/big factory interview process (clarification → design → coding → testing)
- Real-time coding environment that supports multiple languages (Python, JS, Java, C++, etc.)
- Dimensional assessment focused on communication and technology trade-offs
- Anti-stress simulation exercises to cultivate the thinking muscle memory of "thinking and speaking at the same time"
How to use intervu.dev?
To use intervu.dev, start by selecting your preferred programming language and difficulty level. During the session, you are encouraged to think out loud while clarifying the problem and designing a solution. You then write, run, and debug code in the live editor while the AI interviewer asks follow-up questions. After completion, you receive a detailed evaluation based on interview signals such as clarity and code quality.
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Pros & Cons
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Use Cases
- Preparing for software engineering interviews at top tech companies
- Practicing technical communication and thinking out loud while coding
- Simulating a high-pressure interview environment with interactive feedback
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