FAANG Mock Coding Interviews Real Technical Interview Practice – intervu.dev

Aspiring software engineers preparing for technical interviews at top tech companies face a critical gap between solving coding problems and performing well in actual interview settings. intervu.dev addresses this challenge by providing AI-driven mock coding interviews that evaluate not just problem-solving ability, but the complete set of skills assessed during real FAANG-style technical interviews. The platform simulates authentic technical interview experiences from start to finish. Rather than simply testing whether candidates can arrive at correct solutions, it evaluates how they think, communicate their approach, defend trade-offs, and write code under pressure. This comprehensive assessment mirrors the evaluation criteria used by leading technology companies. The interview flow follows the standard structure used at top firms: clarify requirements, design the solution, write code, and test the implementation. Throughout this process, an AI interviewer actively engages with the candidate, asking probing questions and follow-ups that test reasoning and decision-making just as a human interviewer would. This interaction trains candidates to develop the muscle memory needed to think out loud and clearly justify their choices during high-stakes interviews. The platform supports multiple programming languages including Python, JavaScript, Java, and C++, allowing candidates to interview in their preferred language. The coding environment enables real-time writing, running, and debugging while candidates explain their approach—replicating the live coding experience of actual technical interviews. Feedback focuses on interview signal rather than mere correctness. The evaluation covers clarity of communication, quality of trade-off analysis, code quality, and testing practices. This signal-based approach trains candidates on the specific competencies that interviewers at top companies assess when making hiring decisions. intervu.dev explicitly positions itself as different from LeetCode and similar platforms. While those resources help candidates learn to solve problems, they do not replicate the full interview experience. The platform fills this gap by training the communication skills, structured thinking, and performance under pressure that separate candidates who can solve problems from those who can successfully navigate technical interviews at elite technology companies. A free trial option allows candidates to experience the platform before committing.