Build and Deploy Databricks Projects Using Automation Bundles and Agents

Modern data engineering teams need more than deployment automation. They need projects that are source-controlled, governed, and reviewable, so both humans and AI agents can safely build, deploy, and operate them at scale. Declarative Automation Bundles (DABs) provide that foundation. By expressing your entire Databricks project as source code, DABs not only enable scalable processes for human developers, but provide the exact structured interface AI agents need to interact with and manage your workflows.
In this session, we will show how to use DABs in practice, including best practices and the latest authoring workflows across Genie Code, local IDEs, and the Workspace UI. We will also introduce Deployment History, a new service to track exactly who deployed what, when, and with what result.

Building on this foundation, we will share a first look at our Genie Code powered product that monitors jobs, pipelines, tables, and other data assets for failures and optimization opportunities. It explains the root cause, proposes a fix, and validates it in a sandboxed environment. Today, data engineers spend 50%+ of their time maintaining data assets. As agentic tools make code generation faster and more broadly available, removing that operational bottleneck is more urgent than ever.