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Databricks introduces Lakebase branching for coding agents

Databricks has launched Lakebase, a Postgres-based database platform that lets AI coding agents create fully isolated branches of a database in seconds. Each branch uses a copy-on-write method, so parallel agents can safely apply changes and run tests without colliding or risking production data. Idle branches don’t incur costs, and teams can spin them up or retire them as needed. It's aimed at smoothing development when multiple agents work in parallel.

Why it mattersAI coding agents can now work simultaneously without database conflicts or exposing sensitive data. This could make large-scale, AI-driven development faster and less risky for engineering teams.

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DatabricksPrimaryLakebase and Agentic SDLC: Branching Databases for Coding Agents10:00 PM →
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