Managing AI Coding Costs at Scale
Summary
Databricks' blog post analyzes how to manage AI coding costs at scale, outlining an 'efficiency frontier' approach and four cost levers: adopt open-source or lower-cost models, dynamic routing, developer visibility and budgets, and token overhead reduction. It also introduces the AI Gateway and meta-harness concepts as infrastructure to govern costs without sacrificing productivity.