Databricks adds AI agent to Lakebridge for automated legacy SQL migration

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Databricks has expanded its Lakebridge toolkit with an agentic code converter that uses AI subagents to automate the migration of legacy SQL workloads to its lakehouse platform. The tool can analyze source code, convert multiple files in parallel, validate translated SQL, and autonomously retry failed sections without human intervention. It is designed to handle complex SQL elements such as stored procedures, cursors, and dynamic SQL — areas that typically account for around 15 percent of a codebase but consume most of the manual labor in migration projects. Engineers can also define custom migration rules to handle enterprise-specific SQL structures, turning one-off fixes into reusable instructions for the AI. The feature is currently in beta and limits conversion jobs to 300 files per batch, meaning large-scale migrations will still require multiple runs and manual oversight.

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