Candidates review and fix AI-generated code in real codebases, using their own IDE and tools. Structured scorecards delivered straight to your ATS.
Move a candidate to the assessment stage in Greenhouse, Lever, or your ATS. MarioHR sends the interview link automatically.
They download a real codebase seeded with AI-generated bugs (broken logic, hallucinated APIs, security holes) and fix it using their usual tools, including AI assistants.
Screen and audio are recorded while the candidate thinks aloud. We see what they find, what they miss, and how they reason, not just the final diff.
A structured evaluation (bugs found, fix quality, reasoning, AI tool usage) is pushed directly into your ATS as a scorecard. No context-switching.
Lives inside your existing hiring workflow. Trigger interviews and receive scorecards without leaving your ATS.
The only assessment that evaluates what engineers actually do in 2026: review, debug, and improve AI-generated code.
No toy sandboxes. Candidates use their own IDE, terminal, and AI tools on production-grade open-source codebases.
Screen recording + think-aloud captures reasoning, not just output. See how they think, not just what they type.
AI evaluation for speed and consistency. Optional expert human review for senior and staff+ hires.
SOC 2 Type II, GDPR, ISO 27001 on the roadmap from day one. SSO, SCIM, custom exercises for Enterprise.
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