These updates are part of a broader shift across Databricks toward AI-native data and ML workflows. Genie Code helps data teams build, debug, and improve data and ML systems, and we introduced Genie ZeroOps to extend agentic automation to operations. Together, these products help teams move faster across the full lifecycle, from building systems to operating and improving them over time.

Data and ML development rarely happens in a single prompt. A user may need to inspect existing logic, update multiple assets, run code, review outputs, and refine the next step based on results. That work can span notebooks, SQL, Lakeflow pipelines, dashboards, jobs, models, serving endpoints, and Unity Catalog assets.

We've redesigned the Genie Code experience to give teams a dedicated command center for this kind of complex data and ML work. Instead of managing longer tasks in a smaller side panel, users can use a full-page experience to describe a task, track progress, review outputs, and continue iterating.

Teams can manage multiple Genie Code threads, see when a thread is executing or waiting for input, and return to each one when new results are ready. They can rename threads, search previous conversations, and stay oriented as projects evolve.