faire·Software Engineer·Technical Phone Screen·Intermediate

Intermediate

Jun 2026

Summary

Faire SWE interview had a string manipulation problem that looks like a known LeetCode question but isn't, and that gap will catch you if you're not careful.

Questions Asked (1)

Split a long message into chunks of a bounded length, but you can only cut at word boundaries. Splitting mid-word is not allowed, and the output chunks may have leading or trailing spaces.

Algorithms & Data StructuresTechnical Trade-offs

Author's notes

I recognized the structure immediately and started coding toward a solution I'd seen before.

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AI HintsAI Generated

Suggested Approach

Clarify the exact requirements: maximum chunk length, whether spaces count toward the limit, and how to handle words longer than the limit. Then propose a greedy algorithm that scans the message and cuts at the last space before the limit, discussing edge cases and trade-offs.

Pro tip: Mention that you would confirm the definition of 'word boundary' and whether leading/trailing spaces are acceptable, as this affects the algorithm's simplicity and correctness.

1. Clarify requirements and constraints

Ask about the maximum chunk length, whether spaces count toward it, and what to do if a single word exceeds the limit. Confirm if chunks can have leading/trailing spaces and if preserving original spacing is required.

2. Outline a greedy approach

Explain that you would iterate through the message, find the farthest space within the limit, and cut there. If no space exists, handle the long word case (e.g., split mid-word or error).

3. Discuss edge cases and handling

Cover cases like multiple consecutive spaces, leading/trailing spaces, empty message, and words longer than the limit. Propose solutions such as trimming or allowing mid-word splits with a note.

4. Analyze complexity and trade-offs

State that the greedy approach runs in O(n) time and O(1) extra space (excluding output). Discuss trade-offs between simplicity and optimality (e.g., greedy may produce more chunks than necessary).

5. Provide pseudocode or example

Walk through a concrete example to illustrate the algorithm, showing how chunks are formed and how edge cases are handled.

Key Points to Mention

Greedy algorithm: cut at the last space before the limit to maximize chunk length.
Edge cases: words longer than limit, multiple spaces, leading/trailing spaces, empty input.
Time and space complexity: O(n) time, O(1) extra space.
Trade-offs: greedy is simple but may not minimize number of chunks; dynamic programming could but at higher cost.
Handling of spaces: whether to trim or preserve, and if spaces count toward the limit.
Clarification questions to ask before coding.

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.