AI Hiring
How agentic interviews change technical recruiting
By Codash Solutions · Updated · 5 min read
Why consistent rubrics and 24/7 evaluation beat ad-hoc panels when you need to hire engineers at scale.
An agentic interview is an AI-run technical evaluation that follows a structured rubric — covering live coding, data structures and algorithms, and system design — then produces a consistent scorecard hiring teams can trust.
Traditional panels struggle at scale: interviewer availability creates delay, and scoring drift makes it hard to compare candidates fairly. Agentic interviews compress that loop by running 24/7 with the same evaluation criteria every time.
Codash’s CoIntervue platform is built for this model. Teams keep human judgment for final decisions while automation handles scheduling friction, first-pass technical signal, and ATS-ready outputs in under 60 seconds.
If you are hiring engineers across time zones or ramping a large requisition slate, start by standardizing the rubric, integrating scorecards into your ATS, and using AI interviews for the high-volume screen — then reserve senior interviewer time for finalists.