Session
Genie Code for AI App Development
Overview
| Experience | In Person |
|---|---|
| Track | Artificial Intelligence & Agents |
| Industry | Enterprise Technology, Healthcare & Life Sciences, Financial Services |
| Technologies | Databricks Apps, Agent Bricks, Lakebase |
| Skill Level | Intermediate |
Building AI apps on Databricks means working across agent frameworks, serving endpoints, vector stores, and MLflow — and deploying them into production adds complexity. Developers spend too much time switching between tools and writing boilerplate code to understand what's happening.In this session, we show how Genie Code accelerates the path from agent development to deployed app. Ask natural-language questions across your build-and-deploy lifecycle — "how are my agent's tool calls performing in production?", "what changed between my last two deployments?" — and Genie Code writes and executes the code to investigate. We'll walk through real scenarios spanning development, deployment into Databricks Apps, and post-deployment iteration.You'll leave with a blueprint for using Genie Code to build, deploy, and iterate on AI apps at the speed of a question.
Session Speakers
Mingyu Li
/Sr. Software Engineer
databricks
Anshul Gupta
/Sr. Staff Software Engineer
Databricks