Start by clarifying the problem requirements and constraints, then discuss possible approaches and their trade-offs before coding. Implement a clean solution while explaining your thought process, and test with examples to verify correctness and edge cases.
Pro tip: Communicate constantly—interviewers evaluate your problem-solving and collaboration skills as much as your coding ability. If you get stuck, verbalize your reasoning and ask for hints rather than sitting in silence.
Ask questions to confirm input/output formats, constraints, and edge cases. Restate the problem in your own words to ensure alignment.
Brainstorm multiple solutions, analyze time and space complexity, and choose the most efficient one. Explain your reasoning to the interviewer.
Write clean, modular code while explaining each step. Use meaningful variable names and handle edge cases as you go.
Walk through your code with sample inputs, including edge cases. Identify and fix any bugs, and verify the solution meets the requirements.
If time permits, discuss potential optimizations or alternative approaches. Summarize the solution and its complexity.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.