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Scale.ai·Software Engineer·Take-home Assignment·Intermediate

Intermediate
Jul 2026

Summary

Scale.ai gave me a take-home style coding exercise where they handed over a multi-file project and asked me to find and fix bugs in it. The setup was more involved than I expected, lots of files, CSV inputs, and you have to actually run the thing and poke around with print statements to find what's broken.

Questions Asked (1)

Q1

You're given a multi-file codebase with CSV inputs. The interviewer walks you through the high-level logic, then you have to read the code, run it, and use print statements to find a bug where an off-by-one error in a headcount capacity check lets one too many people get assigned to a project. Find the file and line, explain the issue, and fix it.

Root Cause AnalysisTechnical Trade-offs
Author's notes

The bug itself wasn't that hard once I actually ran the code and added some prints around the assignment loop.

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AI HintsAI Generated

Suggested Approach

Start by restating the high-level logic to confirm understanding, then trace the data flow from CSV inputs to the capacity check. Use targeted print statements to inspect boundary values (e.g., current headcount vs. capacity) and identify the off-by-one error. Once found, explain the root cause and propose a fix that correctly enforces the capacity limit.

Pro tip: Before diving into code, ask clarifying questions about the expected behavior at the boundary (e.g., 'Should the capacity be inclusive or exclusive?') to demonstrate thoroughness and avoid assumptions.

1. Understand the logic and data flow

Listen carefully to the interviewer's explanation, then summarize the key steps: reading CSVs, assigning people to projects, and checking capacity. Identify the relevant files and functions involved in the assignment process.

2. Run the code and reproduce the bug

Execute the code with the provided CSV inputs and observe the incorrect assignment. Use print statements to log the headcount and capacity values at the point of assignment to see the discrepancy.

3. Locate the off-by-one error

Trace the condition that checks capacity (e.g., if current_headcount < capacity). Compare it with the expected logic and identify the exact file and line where the comparison is off by one.

4. Explain the root cause and fix

Articulate why the condition allows one extra person (e.g., using <= instead of <, or starting count at 1 instead of 0). Propose a corrected condition and verify the fix with test cases.

5. Validate and discuss trade-offs

Re-run the code to ensure the fix works and no new issues arise. Discuss potential edge cases (e.g., zero capacity) and any trade-offs in the fix (e.g., readability vs. performance).

Key Points to Mention

  • Off-by-one errors often occur in boundary conditions (e.g., < vs. <=, 0-indexed vs. 1-indexed).
  • Use of print statements or debugger to inspect variable states at runtime.
  • Importance of understanding the expected behavior at capacity limits.
  • Testing the fix with edge cases (e.g., exactly at capacity, over capacity).
  • Clear communication of the root cause and the fix to the interviewer.
  • Consideration of code maintainability and potential side effects of the fix.

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