What Is an AI Interview Platform?
An AI interview platform is software for running interviews where AI is part of the workflow instead of something candidates must pretend does not exist. For engineering teams, that means evaluating how a developer understands a task, works with generated code, debugs mistakes, and ships a practical implementation.
Why AI changes the interview
Traditional coding interviews often test recall, speed, and puzzle familiarity. Those signals are weaker when day-to-day engineering work now includes reading specs, navigating existing files, using AI tools, and validating generated output.
The better interview format is closer to real work: give the candidate a clear spec, a file workspace, permission to use AI where appropriate, and evaluate the decisions they make along the way.
What a strong AI interview platform should support
The platform should make the interview observable without turning it into surveillance. Interviewers need enough context to understand the candidate's process, but the session should still feel like practical engineering work.
- check_circleA written spec that anchors the task
- check_circleA browser workspace with real files
- check_circleCandidate, interviewer, and AI-assisted edits in one session
- check_circleReview context for implementation choices and tradeoffs
- check_circleA fair way to evaluate AI use instead of banning it by default
How EvalSpec fits
EvalSpec is built for AI-assisted coding interviews where the candidate, interviewer, and AI can work in the same shared file workspace. The goal is not to reward blind AI usage. The goal is to evaluate engineering judgment in the environment developers increasingly use.
FAQ
Should candidates be allowed to use AI in coding interviews?
For many engineering roles, yes. The important thing is to structure the interview so candidates are evaluated on understanding, debugging, judgment, and final implementation quality.
What does EvalSpec measure?
EvalSpec helps teams evaluate practical implementation work against a written spec, including how candidates use AI assistance and respond to real file-level problems.
Run this interview format in EvalSpec.
Create a free pilot session with a written spec, shared files, interviewer review, and AI-assisted workspace support.
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