Session

Genie Code for AI App Development

Overview

ExperienceIn Person
TrackArtificial Intelligence & Agents
IndustryEnterprise Technology, Healthcare & Life Sciences, Financial Services
TechnologiesDatabricks Apps, Agent Bricks, Lakebase
Skill LevelIntermediate
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

Speaker placeholderIMAGE COMING SOON

Mingyu Li

/Sr. Software Engineer
databricks

Speaker placeholderIMAGE COMING SOON

Anshul Gupta

/Sr. Staff Software Engineer
Databricks