Genie Code can now take you from exploration to scheduled pipelines and jobs in one thread, helping you author and operate them end-to-end.

It accelerates the development of Lakeflow Spark Declarative Pipelines and simplifies how pipelines and notebooks are orchestrated and run through Lakeflow Jobs. Genie Code understands your pipeline and job context, accessing the code, configuration, and run results.

More capabilities are coming to extend Genie Code across pipelines, jobs, and the broader platform. One exciting feature on the horizon is AI-optimized workloads. In the future, you can allow Genie Code to also run in the background to keep your platform working efficiently, so you can hand off those repetitive and time-consuming tasks. This includes responding to job failures and managing routine upgrades, but also automatically right-sizing cluster use.

Curious to learn more about these updates and best practices? Make sure to register for Data+AI Summit where we have hundreds of sessions covering Genie Code, Lakeflow and much more!