New research from Databricks shows that data agents can improve accuracy and lower cost at the same time.
We evaluated Genie Code against three leading general-purpose coding agents on 401 tasks distilled from real internal usage. Each agent used their own harness, the latest models from leading frontier labs, Databricks MCP, and had the same 20-minute task budget.
Genie Code was both the most accurate agent we tested and the cheapest, delivering a correct answer at less than half the cost of other agents. Genie Code achieved the highest accuracy at 76.6%, and the lowest mean cost at $0.55 per task.
The advantage came from context. Semantic search, persistent memory, and workspace understanding helped Genie Code avoid the inefficient exploration that drove more errors, timeouts, and higher costs for general coding agents.
databricks.com/blog/why-fron…