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Prepare for coding interviews at FAANG and top tech companies. Practice DSA problems, system design, and behavioral questions with real-time AI feedback.
Most platforms give you a fixed bank of problems and expect you to grind. But real interviews test problem-solving approach, communication, and ability to handle novel challenges — not pattern memorization. ByteMentor AI generates unique problems tailored to your level, monitors your coding in real-time, and evaluates how you think — not just whether your code passes.
Our coding interview preparation covers the full spectrum: DSA problems across arrays, trees, graphs, dynamic programming, and more. System design questions with an interactive drag-and-drop canvas where you diagram architectures. Low-level design with UML and SOLID principles. Behavioral rounds with STAR method coaching. Each mode has specialized AI evaluation.
After each attempt, you get detailed analysis: time and space complexity breakdown, code quality assessment, edge case coverage, and specific suggestions for improvement. The AI doesn't just tell you if you're right or wrong — it explains why, suggests alternative approaches, and progressively increases difficulty as you improve.
MockPilot simulates full interview loops with an AI interviewer that asks follow-up questions, gives hints when you're stuck, and delivers a final hire/no-hire decision. Choose your target company tier (FAANG, mid-tier, startup) and the AI calibrates accordingly. Practice under timed conditions with realistic pressure.
DSA problems with real-time code execution and AI evaluation
Start practicingArchitecture questions with drag-and-drop canvas
Start practicingSTAR method coaching with structured scoring
Start practicingOOP and UML design with SOLID principles review
Start practicingMost engineers spend 4-12 weeks preparing, depending on their current level. ByteMentor AI's adaptive system identifies your weak areas so you can focus your time efficiently. With daily practice across coding, system design, and behavioral rounds, most users feel interview-ready in 6-8 weeks.
ByteMentor AI complements LeetCode by going beyond just DSA. It covers the full interview loop — system design, behavioral, code review, and more. The AI generates unique problems (not a fixed bank), provides real-time feedback as you code, and evaluates your problem-solving approach, not just test case pass rates.
ByteMentor AI supports JavaScript, TypeScript, Python, Java, C, and C++. You can switch languages at any time, and the AI adapts its feedback and evaluation to your chosen language.
Yes. MockPilot lets you select company tiers (FAANG, mid-tier, startup) which adjusts the difficulty, question style, and evaluation criteria. The adaptive system also allows you to focus on specific topics that are commonly tested at your target companies.
Practice system design interviews with a drag-and-drop architecture canvas. Design scalable systems with AI evaluation on trade-offs, cost, and reliability.
Practice behavioral interview questions with AI-powered STAR method coaching. 8 question categories, structured scoring on impact, clarity, and communication.
Practice AI and machine learning interviews. Build RAG pipelines, design LLM architectures, implement ML algorithms, and craft production prompts — all with AI feedback.
Free to start. No credit card required. AI-powered practice with real-time feedback.
Start practicing for free