Recognized it immediately and just coded it up.
First, clarify the encoding/decoding rules and constraints with the interviewer, then discuss a few possible approaches (e.g., mapping, base conversion, or state machine) and their trade-offs. Choose the most efficient one, outline the algorithm, and then implement it with clean code, testing edge cases.
Pro tip: Before coding, walk through a small example to confirm your understanding and catch off-by-one errors. Also, mention how you would handle invalid inputs or edge cases, as this shows attention to detail and production readiness.
Ask questions to understand the encoding/decoding rules, input/output formats, constraints, and edge cases. Confirm whether the encoding is reversible and if there are any restrictions.
Brainstorm possible algorithms (e.g., hash map, base conversion, two-pointer, recursion) and analyze their time and space complexity. Discuss trade-offs with the interviewer.
Select the best approach and outline the steps in plain English or pseudocode. Consider how to handle edge cases and ensure correctness.
Write clean, modular code with meaningful variable names. Test with normal cases, edge cases, and invalid inputs. Debug as needed.
State the time and space complexity of your solution. Discuss potential optimizations or alternative approaches if time permits.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.