Databricks Genie

Can Databricks Genie Build My Deck and Deploy My App?

2026-04-08 · 7 min read
By Sai Prudhvi Neelakantam · Topic: AI Assistants for Enterprise Data Platforms
Tags: Databricks,Genie Code,AI Assistant,Enterprise Data,Automation
Source: GeekInData AI newsletter

Can Databricks Genie make a PowerPoint like this based on my data and use my company template exactly? Can it develop and deploy a web app integrating my Genie space?

I have been stress-testing the new Databricks Genie Code, and it is setting a new bar for AI assistants in enterprise data platform technology.

Databricks Genie Code announcement visual
Databricks Genie Code announcement visual

Most of the buzz around Genie Code focuses on handling data questions or building ETL pipelines. But I wanted to push it further: how does it actually perform from a day-to-day developer and business user's perspective?

After putting it through its paces, Genie Code gives off more Claude Code and Cursor vibes than Copilot, but with enterprise data security. Because it lives natively within Databricks, it already has deep context regarding your enterprise data, governance, and platform architecture, meaning less waste of extra tokens or struggling with complex context windows.

Two use cases that stood out

1. Making a PowerPoint heavily based on data insights. I connected Genie Code with an open-source PPTX skill from Anthropic (the same one used for Claude Code) to create a PowerPoint based on data in Databricks. Instead of just returning insights in chat, it autonomously generated a beautiful 9-slide PowerPoint deck complete with charts and graphs, and the best part is every element is editable. It is a massive time-saver that turns raw data directly into boardroom-ready presentations for monthly or quarterly meetings.

Genie Code creating a full presentation from enterprise data
Genie Code creating a full presentation from enterprise data
Example slide generated by Genie Code showing user preference analytics
Example slide generated by Genie Code showing user preference analytics

Bonus: If you customize the skill, it can decrypt your company template, then pick and replace the most suitable slides for the related data.

2. Web app development and deployment in Databricks. This is definitely possible with many IDEs like Cursor or Claude Code today using the Databricks MCP, but I still have to reference or point the agent in the right direction to deploy a web app. Genie Code, however, already has the context of your platform. So, not only did it write the web app code, but it also reasoned through platform constraints in real time. When it realized the Databricks CLI was not available on the specific serverless compute I was using, it seamlessly pivoted and successfully deployed the live dashboard to azure.databricksapps.com.

Genie Code deployment output showing successful app publish
Genie Code deployment output showing successful app publish

Seeing this in action makes Databricks' internal benchmarks make a lot of sense. They recently reported Genie Code hitting a 77.1% success rate on real-world tasks, compared to just 32.1% for leading coding agents using MCP servers.

Benchmark chart comparing Genie Code and leading coding agents
Benchmark chart comparing Genie Code and leading coding agents

Context is everything, and having an AI that actually knows your platform inside and out changes the game.

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This also leaves a question for Copilot in Microsoft Fabric: Agent mode that has context of my Fabric items and data soon?

#Databricks #Genie #DatabricksGenieCode #AI