We help companies hire & upskill developers. A customer recently asked: What % of HackerRank problems can LLMs solve? That got us thinking—how should hiring evolve when AI can translate natural language to code?
Our belief: AI will handle much of code generation, so developers will be assessed more on SDLC skills with AI assistants.
To explore this, we’re benchmarking LLMs on real-world software dev scenarios—starting with 65 unseen problems across 10 domains. Beyond correctness, we evaluated consistency—an often overlooked aspect of AI reliability. We’re open-sourcing the dataset on Huggingface and expanding it to cover more domains, ambiguous specs, and harder challenges.
Our belief: AI will handle much of code generation, so developers will be assessed more on SDLC skills with AI assistants.
To explore this, we’re benchmarking LLMs on real-world software dev scenarios—starting with 65 unseen problems across 10 domains. Beyond correctness, we evaluated consistency—an often overlooked aspect of AI reliability. We’re open-sourcing the dataset on Huggingface and expanding it to cover more domains, ambiguous specs, and harder challenges.
Would love the HN community’s take on this!