A full development environment launches at the start of every interview. Candidates and your team code side by side the way they would on the job. No awkward screen sharing.

The IDE mirrors a modern developer setup, with inline assistance and a chat panel, so that you can can see how a candidate works alongside AI. Interviewers can monitor AI-candidate interactions in real time, and conversations are also captured in interview reports.

Scorecard Assist auto-fills your interview rubric using transcripts, code, and test cases, so interviewers spend their time interviewing, not writing notes. Move beyond evaluating just code correctness to a holistic framework that looks at code quality, ability to work with AI, code review, and more.

Integrity signals notify interviewers when the system detects meaningful clusters of suspicious candidate activity, such as multiple copy-paste actions, frequent window resizing, and switching tabs.

The Screen-to-Interview Identity Match verifies that the candidate who completed the screening test is the same individual attending the interview. It uses facial recognition technology to automatically compare images from the test and interview to detect potential identity mismatches.