Evaluating Coding Agents on Massive Codebases
tanelpoder · hn · 2026-07-09
Databricks published an article on evaluating coding agents on its multi-million-line codebase, using real-world, large-scale engineering code to test how coding agents perform in complex repositories. The value of such evaluations lies in:
- Being much closer to real R&D environments than small benchmarks
- Allowing observation of agents' navigation, modification, and collaboration skills in massive codebases
- Serving as a great way to compare different agents on engineering readiness
The post focuses less on individual model leaderboard scores and more on how to evaluate coding agents on real enterprise codebases.
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