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Meta·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
Jun 2026

Summary

Meta coding screen, debugging flavor. They gave me a broken maze solver and wanted me to fix it. Not the hardest problem but I definitely overthought the solution before landing on something obvious in hindsight.

Questions Asked (1)

Q1

You're given a maze-solving function that's too slow because it keeps revisiting the same cells. Find the bug and fix it.

Algorithms & Data StructuresRoot Cause Analysis
Author's notes

I spent way too long staring at the traversal logic trying to find some fancy structural issue.

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AI HintsAI Generated

Suggested Approach

First, clarify the maze-solving algorithm and the exact symptom (e.g., exponential time due to revisiting). Then, systematically trace the code to identify where visited cells are not being tracked or marked, and propose a fix using a visited set or in-place marking. Finally, discuss time/space complexity improvements and potential edge cases.

Pro tip: Demonstrate strong debugging skills by not just fixing the bug but also explaining how you would test the fix and prevent similar issues, such as adding a visited set from the start or using memoization.

1. Understand the problem and expected behavior

Ask clarifying questions about the maze representation, the algorithm used (e.g., DFS, BFS), and the performance issue. Confirm that the function should visit each cell at most once.

2. Identify the root cause

Examine the code for missing or incorrect tracking of visited cells. Look for places where the algorithm might revisit cells, such as not marking cells as visited before recursion or not checking a visited set.

3. Propose and implement a fix

Add a visited set or modify the maze in-place to mark visited cells. Ensure the fix is applied consistently at the right points in the algorithm.

4. Analyze complexity and edge cases

Discuss how the fix improves time complexity (e.g., from exponential to O(m*n)) and consider edge cases like empty mazes, start/end points, and cycles.

5. Test and validate

Suggest test cases to verify the fix, including small mazes, large mazes, and mazes with no solution. Mention how to measure performance improvement.

Key Points to Mention

  • Use a visited set or boolean matrix to track visited cells.
  • Mark cells as visited before exploring neighbors to avoid cycles.
  • Consider in-place modification if memory is a concern, but be aware of side effects.
  • Analyze time complexity: without visited tracking, it can be exponential; with it, O(m*n).
  • Discuss trade-offs between DFS and BFS for maze solving.
  • Mention potential stack overflow with recursive DFS and suggest iterative approaches.

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