Jumped into it within an hour of getting the link, probably not my smartest move but I was anxious.
Start by clarifying all parts of the problem and the expected input/output for each stage. Then break the problem into smaller sub-problems, solving each sequentially while ensuring the solution for one stage correctly feeds into the next. Write clean, modular code and test with edge cases after each stage.
Pro tip: Before coding, restate the problem in your own words and confirm assumptions with the interviewer. This demonstrates clarity and prevents wasted effort on misunderstood requirements.
Ask questions to understand the exact input format, output format, constraints, and how the stages are connected. Confirm edge cases and expected behavior.
Outline the algorithm for each stage, identifying how to parse strings and apply conditional logic. Consider data structures and helper functions that can be reused.
Code one stage at a time, testing each before moving to the next. Ensure that the output of one stage correctly becomes the input for the next.
Run through provided examples and additional edge cases (empty strings, special characters, boundary conditions). Debug any issues and verify all stages work together.
Check for code clarity, efficiency, and potential improvements. Discuss time/space complexity and possible optimizations with the interviewer.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.