#Lakebase

5 stories · 1 in 7 days · 3 in 30 days
Stories, products and papers tagged "Lakebase", newest first.
Oct 24
Oct 14
Oct 9
ProductsBuildersSelected22:07
Cloud Agent Outlives Request

This persistence capability fundamentally changes how long-running AI workflows can operate in cloud environments, enabling more reliable human-AI collaboration. Developers building complex AI systems can implement this approach to maintain state continuity across infrastructure changes, with the solution being particularly valuable for enterprise deployments requiring audit trails and delayed human review.

官方账号Databricks@databricksSource
Sep 24
ProductsBuildersSelected23:13
Databricks Lakebase Branching gives coding agents isolated test databases

The notable shift is treating ephemeral data branches as a safety layer for agent workflows, not just a developer convenience — production data stays out of the loop while agents iterate. Teams building database-backed applications with coding agents can wire this into existing CI/CD pipelines using the CLI and AGENTS.md. Compared with manual staging database copies, branching shortens the test cycle to isolated, disposable environments.

官方账号Databricks@databricksSource
Jun 25