Research Update: Algorithmic vs. Holistic Evaluation

Many AI benchmarks use algorithmic scoring to evaluate how well AI systems perform on some set of tasks. However, AI systems often produce code that scores well but isn’t production-ready due to issues with test coverage, formatting, and code quality. This helps explain why AI tools show less productivity improvement than expected despite strong performance on coding benchmarks.