Ship Faster: Dev Workflows with Lakebase Branching

Developers branch their code constantly, but the database has always been the exception: shared, stateful, and a constant source of friction. Someone runs a migration in the dev environment and breaks everyone else's work. Test data gets polluted. Schema changes get deferred because coordinating them is painful.
Lakebase branching fixes this by letting you spin up an isolated, zero-copy clone of your database in seconds, one per feature branch, one per pull request, one per developer if you want. In this lightning talk, you'll see how database branching slots into the workflows you already use: local development, CI pipelines, and staging environments, without the overhead of maintaining separate database instances. The result is a development workflow where the database finally moves at the same speed as the rest of your stack.