Benchmarking coding agents on Databricks' multi-million line codebase

Databricks built an internal coding benchmark to evaluate AI coding agents on real-world tasks from their multi-million line codebase, covering languages like Python, Go, and Typescript. The results showed three distinct capability tiers, with the most intelligent models being highly effective but very expensive, while medium and lower intelligence models remain highly effective for common tasks. The analysis focused on thematic patterns rather than exact scores, helping the team understand which models to use for different tasks.