Start by clarifying the problem requirements and edge cases, then outline your approach before coding. Use clear variable names and modular functions, and test with examples. If stuck, communicate your thought process and consider multiple solutions, discussing trade-offs.
Pro tip: Demonstrate strong fundamentals by writing clean, efficient code and explaining your reasoning. Show adaptability by acknowledging the shift from React to algorithmic problems and relating them to real-world scenarios.
Ask clarifying questions to ensure you understand inputs, outputs, and constraints. Confirm edge cases and expected behavior.
Outline a step-by-step plan, considering multiple algorithms and their time/space complexity. Choose the most efficient one and explain why.
Write clean, modular code with meaningful names. Comment on key steps and handle edge cases.
Walk through your code with sample inputs, including edge cases. Fix any issues and verify correctness.
Discuss potential optimizations and trade-offs. If time permits, refactor for readability or performance.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.