Take a 2-minute tour of hiring engineers who build with AI
AI can write code now. See which engineers can build with it: every prompt a candidate writes in a Screen task, and live interviews where the AI slips in a bug only you know about.
What you’ll see in the tour
9 steps through one backend engineering hire: Elif solves a real-world problem with AI on, Teodora reads how she worked with it, then interviews her while the AI slips in a bug.
- 01
AI on for the tasks you choose
Allow the AI Copilot and Claude Code on a real-world project and switch AI off for the next task, in one Screen assessment. In Interview, you switch AI on or off for each interview.
- 02
Real-world projects in VS Code
Candidates open a multi-file project, run the tests in the terminal and start Claude Code there, the way your engineers work every day.
- 03
How each candidate used AI
AI Insights shows each candidate’s AI usage on every task, by tool, model and mode, with their prompts in order and the edits each one made.
- 04
A skill level behind every score
Each report shows tests passed, Code Health and the level reached in each skill, on an award-winning proficiency scale.
- 05
AI Instructions only interviewers see
Tell the AI Copilot and Claude Code to slip a bug into the candidate’s next change, and see who reviews AI-generated code and who accepts it blindly.
- 06
The same skills on every interview
Every interviewer rates the same skills and subskills from the Engineering Skills Model, hidden from the candidate, including AI Collaboration: how they work with AI.
Built on almost two decades of technical assessment
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