Deep dives into how we build Hyrin, evaluate developers with AI, and think about the future of technical hiring.
How we fine-tuned Code Llama with a novel Challenge Layer on top of the MLP to produce code that contains realistic, calibrated defects for interview evaluation.
How we designed Hyrin's architecture to evaluate developers in the age of AI-assisted coding, from invisible challenges to real-time session analysis.
The art and science behind Hyrin's challenge templates - how we create defects that are subtle enough to be realistic but significant enough to be meaningful.