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Airbnb·Software Engineer·Onsite - Coding / Algorithms·Intermediate

IntermediatePending
May 2026

Summary

Three coding rounds at Airbnb, two went fine, then the third one had a bug that broke the output on a hard problem. Still not sure if that's an automatic disqualification or not.

Questions Asked (1)

Q1

A hard-level coding problem given in the third round, where a bug in the implementation caused the output to be incomplete.

Algorithms & Data Structures
Author's notes

The first two rounds felt solid so I went into the third with some confidence.

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AI HintsAI Generated

Suggested Approach

First, clarify the problem requirements and edge cases, then walk through your algorithm with a small example to ensure correctness. When debugging, systematically trace the code with the given input to identify where the output becomes incomplete, and explain how you would fix it and verify the solution.

Pro tip: Demonstrate strong debugging skills by using a debugger or print statements to isolate the bug, and always test with edge cases like empty input or maximum constraints to catch incomplete outputs.

1. Understand the problem

Restate the problem in your own words, ask clarifying questions about input/output formats, constraints, and edge cases. Confirm your understanding with the interviewer.

2. Design the algorithm

Outline your approach, including data structures and algorithms, and analyze time and space complexity. Walk through a small example to validate the logic.

3. Implement the solution

Write clean, modular code with meaningful variable names. Explain your code as you write, and handle edge cases explicitly.

4. Debug the incomplete output

If the output is incomplete, systematically trace the code with the given input. Use print statements or a debugger to inspect variables and identify where the logic fails.

5. Fix and verify

Once the bug is identified, explain the fix, apply it, and re-test with the original input and additional edge cases to ensure the output is complete and correct.

Key Points to Mention

  • Clarify problem requirements and edge cases before coding
  • Choose appropriate data structures and algorithms
  • Analyze time and space complexity
  • Use systematic debugging techniques (e.g., print statements, debugger)
  • Test with edge cases (empty input, large input, etc.)
  • Communicate your thought process clearly throughout

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