I jumped straight to the split-on-underscore approach and it worked for the basic case.
Clarify the exact transformation rules and edge case handling with the interviewer, then propose a linear scan solution that builds the result while tracking word boundaries. Discuss trade-offs between different approaches (e.g., split/join vs. in-place) and analyze time/space complexity.
Pro tip: Demonstrate production-level thinking by discussing how you would handle Unicode characters and whether the function should be idempotent or handle already camelCase strings.
Ask the interviewer about expected behavior for leading/trailing/consecutive underscores, empty string, and non-ASCII characters. Confirm that the first word remains lowercase and subsequent words are capitalized.
Propose a linear scan that iterates through the string, skipping underscores and capitalizing the next character after an underscore. State that time complexity is O(n) and space complexity is O(n) for the output string.
Trace through examples like 'hello_world' -> 'helloWorld', '_hello__world_' -> 'helloWorld', and '' -> '' to verify the logic and edge case handling.
Mention that a split/join approach is simpler but may create intermediate arrays, while a single-pass approach is more efficient. Discuss in-place modification if the input is mutable.
Recap the solution, its complexity, and how it handles edge cases. Ask if the interviewer wants to see code or discuss further optimizations.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.