Databricks CEO and co-founder @alighodsi joined @technology to discuss the launch of Genie Code, an autonomous AI agent built specifically for data teams. "Just six months ago, we were talking about autocompleting code — now agents automate the code. The new question is: how do
@databricks
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Genie Code: Autonomous AI Agent for Data Pipeline Management
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The next generation of AI agents won't just write software, but operate the data systems that modern businesses depend on. Genie Code is built for exactly that: an autonomous agent that understands your data, maintains pipelines, diagnoses failures, and keeps things running.
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Genie Code: Autonomous AI Agent for Data Teams
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Today we're announcing Genie Code, your autonomous AI partner for data.
— Databricks (@databricks) 11 mars 2026
Genie Code is a state-of-the-art agent that lets data teams move from prompting a copilot to delegating real work: building pipelines, machine learning models, debugging failures, and shipping dashboards.… pic.twitter.com/q1tl0WRypIToday we're announcing Genie Code, your autonomous AI partner for data. Genie Code is a state-of-the-art agent that lets data teams move from prompting a copilot to delegating real work: building pipelines, machine learning models, debugging failures, and shipping dashboards.
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Databricks Acquires Quotient AI to Enhance Agent Evaluation
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Databricks is acquiring Quotient AI to strengthen the agent evaluation and reinforcement learning capabilities in Genie, Genie Code, and Agent Bricks so customers get more reliable AI agents in production. Databricks already provides powerful tools for evaluating and improving
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Google Gemini 3.1 Flash-Lite Now Available on Databricks
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Access to Google Gemini 3.1 Flash-Lite is now available on Databricks! Gemini 3.1 Flash-Lite is a brand-new model in the Gemini family — and Databricks is one of the first places outside of Vertex AI where you can access it. Build and scale GenAI applications on your enterprise
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Data Engineering Guide: Build Scalable Pipelines Faster
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Data engineering is getting more complex, but it doesn't have to slow you down. The Big Book of Data Engineering is a practical guide packed with how-tos, code snippets, and real-world examples to help you build and scale pipelines faster and deliver high-quality data for AI,
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Apache Spark Real-Time Ad Attribution with transformWithState
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Ad attribution is a stateful streaming problem. With Apache Spark Real-Time Mode + transformWithState, you can achieve sub-second latency and handle timers, TTLs, and late data directly in Structured Streaming. No external engines. Build the entire pipeline in Spark.
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Deploy AI Agents on Databricks with Agent Bricks Custom
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Now you can author an AI agent and deploy it on Databricks with Agent Bricks Custom Agents!
— Databricks (@databricks) 9 mars 2026
– Build and iterate locally with your preferred stack
– Improve agent quality with integrated evaluation and CI/CD workflows
– Deploy directly as serverless Databricks Apps to a… pic.twitter.com/VLRZ8hqMQzNow you can author an AI agent and deploy it on Databricks with Agent Bricks Custom Agents! – Build and iterate locally with your preferred stack
– Improve agent quality with integrated evaluation and CI/CD workflows
– Deploy directly as serverless Databricks Apps to a -
Databricks Zerobus Ingest Simplifies Real-Time Data Streaming
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Real-time data streaming has always required complicated architectures and weeks of development work to get right. Databricks Zerobus Ingest is designed to change that. @CRN
's @RickWhiting1 spoke with Senior Director of Product Management Bilal Aslam about the general -
Databricks AI Functions Extract Critical Data From PDFs
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Databricks AI Functions and the Information Extraction Agent Brick help teams unlock critical information trapped in PDFs and documents.
— Databricks (@databricks) 22 février 2026
By combining built-in AI with domain-specific agents, teams can quickly extract key data, validate it with experts, and turn unstructured… pic.twitter.com/PkNUsM0aniDatabricks AI Functions and the Information Extraction Agent Brick help teams unlock critical information trapped in PDFs and documents. By combining built-in AI with domain-specific agents, teams can quickly extract key data, validate it with experts, and turn unstructured