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Published
22/100

Databricks cuts AI coding unit costs up to 90% through routing and efficiency changes

AIDatabricks says it reduced AI coding unit costs by up to 90% in some cases through more efficient models, better routing, spend visibility and less token overhead. Co-founder Patrick Wendell explains the methods in a blog post, which says the company kept developers productive while cutting costs.
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We started by giving engineers access to the most expensive AI coding models and as many tokens as they wanted. Adoption took off. So did costs.

At Databricks, we've since reduced AI coding unit costs by up to 90% in some cases through more efficient models, better routing, spend visibility and less token overhead.

Our co-founder @pwendell explains what worked and how we kept developers moving. https://www.databricks.com/blog/ai-bill-coming?utm_source=twitter&utm_medium=organic-social

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Original title: We started by giving engineers access to the most expensive AI coding models and as many tokens as they wanted. Adoption took off. So did...