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AI Coding Interviews
How EvaluLabs runs coding and system-design rounds inside an AI interview: an in-session editor, several languages, and grading by the interviewer rather than a hidden test runner.
How does AI coding assessment work?
When a question is a coding problem, EvaluLabs opens an editor inside the interview. You write in that editor — Monaco, or a plain text area if the editor does not load — and send the code to the AI interviewer. The interviewer can also see check-ins of in-progress code, so it can ask about an approach before you submit.
Supported editor languages are JavaScript, TypeScript, Python, Java, C++, and Go. System-design questions use a written workspace instead of the code editor. The end-of-session rubric still scores communication, technical depth, problem solving, and overall.
EvaluLabs does not run your code against a hidden unit-test suite. Grading is the AI interviewer’s reading of what you wrote and how you explained it.
- The interviewer asks a coding or system-design question from the round’s bank.
- You edit in the workspace and can submit, or keep typing while check-ins go to the interviewer.
- Follow-up questions stay in the same chat transcript.
- When the session ends, the transcript — including the code you sent — is part of what gets scored.
Where coding rounds show up
Practice interviews use coding prompts when the company or skill round is a coding or system-design round. Enterprise interviews use them when the uploaded bank marks a question that way.
Example: a candidate practising a Python round writes a function in the editor, submits it, and answers a follow-up about edge cases. The score afterwards reflects that exchange. It is an illustration of the flow, not a sample result.