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Started fine, got the recursive case working pretty quickly.
Start by clarifying the problem: confirm the output format, how to handle lists, and edge cases like empty objects or null values. Then outline a recursive solution that builds a path of keys and accumulates flattened key-value pairs. Finally, discuss trade-offs and extensions, such as iterative approaches or handling lists by either indexing or serializing them.
Pro tip: Mention that you'd use a helper function with a prefix parameter to avoid string concatenation overhead, and that you'd consider using an array to collect results and join at the end for efficiency. Also, proactively ask about the expected behavior for lists (e.g., index-based flattening vs. JSON stringification) to show you think about edge cases.
Ask about the exact output format, how to handle lists, null values, empty objects, and whether keys can contain dots. Confirm if the output should be a string or a data structure.
Explain that you'll traverse the object recursively, maintaining a path of keys. For each key-value pair, if the value is an object, recurse with the extended path; otherwise, add the flattened key-value to the result.
Write a helper function that takes the current object, a prefix string, and an accumulator (e.g., array of strings). Use a loop over keys, build the new prefix, and recurse or append as needed.
Discuss options: treat lists as leaf values (e.g., JSON.stringify), or flatten with indices (e.g., 'a.0.b=1'). Mention that the choice depends on requirements and that you'd confirm with the interviewer.
State time complexity O(n) where n is total number of nodes, and space O(d) for recursion depth. Mention iterative alternative using a stack to avoid recursion limits, and trade-offs between readability and performance.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.