Benchmarking Coding Agents on Databricks' Multi-Million-Line Codebase

This blog presents Databricks' methodology for evaluating AI coding agents against a large-scale, production-grade codebase containing millions of lines of code. Rather than relying on synthetic benchmarks, the evaluation measures how well agents understand complex repositories, navigate dependencies, generate accurate code changes, and solve real engineering tasks. The post discusses the benchmarking framework, key performance metrics, and lessons learned from comparing frontier coding agents, providing practical guidance for organizations looking to assess AI-assisted software development in enterprise environments. 

https://www.databricks.com/blog/benchmarking-coding-agents-databricks-multi-million-line-codebase

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