NextGen equips engineering leaders with a reliable metric for AI‑ready talent, reducing hiring risk as AI becomes central to software creation.
The rise of generative AI has reshaped software development, turning traditional coding interviews into an inadequate proxy for future performance. Companies now need to evaluate not just raw algorithmic skill but the ability to orchestrate AI tools, interpret model outputs, and make nuanced design decisions. Karat NextGen answers this gap by embedding an AI assistant directly into the interview workflow, creating a realistic environment where candidates demonstrate how they augment their expertise with machine intelligence.
By coupling a massive historical interview dataset with live expert interviewers, Karat can benchmark candidates against industry‑wide standards while isolating human judgment from AI assistance. This dual‑lens approach provides hiring leaders with granular insights into problem‑solving, trade‑off analysis, and collaborative reasoning—attributes that correlate with higher ROI as AI amplifies engineer productivity. The solution also mitigates bias, as the AI component standardizes certain tasks, while human interviewers ensure fairness and contextual evaluation.
For engineering executives, the strategic implication is clear: adopting a human‑plus‑AI interview model can accelerate the build of AI‑ready teams, directly impacting product velocity and competitive advantage. As frontier models evolve from autocomplete to autonomous code generation, organizations that align hiring practices with these capabilities will capture the projected three‑fold increase in engineer ROI over the next three years. Karat NextGen thus positions itself as a critical enabler for firms navigating the rapid AI workforce transformation.
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