Backend Practical: CSV to JSON, Then LLM Classification

CodingScale AILast reported August 2026Medium Frequency
Reported
8× across candidate reports
First seen
February 2025
Last reported
August 2026
Reported outcome
mixed

Problem Overview

You are given two CSV files, users and tasks, and an LLM API key, and you build a small backend in three graded parts. In the real round this runs behind a local HTTP server: in one version the recruiter asks you to set it up before the interview, in…

  • 4 candidate-reported follow-ups — the exact probes interviewers asked, with the trigger for each
  • The rest of the problem statement — full requirements, constraints, and edge cases
  • Approach and trade-offs — what passing candidates did, and the mistakes that sink people
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Verified Source
Every question is reconstructed from multiple independent candidate reports. Verbatim follow-ups, not invented ones.
Codex Fact-Checked
Technical claims, formulas, and scale numbers are reviewed against primary sources.
Interviewer Follow-ups
The exact follow-ups reported by candidates, with the trigger that prompts each one — plus the mistakes that sink people.
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