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From lakehouse to live code: Databricks bets on integrated AI experiences — theCUBE analysis
- Databricks Inc. is focusing on an enterprise world driven by artificial intelligence with a focus on vibe coding, recently introduced at its annual conference.
- During the conference, Databricks unveiled products such as the serverless Lakebase database, Mosaic Agent Bricks for automating agent building, and tools for coding with AI through natural language prompts.
- The company aims to enhance applications, particularly in terms of governance and support for transactions, by leveraging the underlying Lakebase database.
- Databricks' data lakehouse platform involves the integration of Lakebase, a transactional database based on PostgreSQL obtained through the acquisition of Neon Inc., making AI-driven app development easier.
- Lakebase simplifies data and analytics management by allowing customers to use a single set of controls.
- Agent Bricks, another major announcement, is a tool for optimizing AI agents automatically during development, letting users request specific agent tasks through natural language prompts.
- With each update, Databricks is moving towards integrating AI deeply into every layer of a customer's ecosystem, focusing on vibe coding and live coding with AI tools to unify data environments.
- Databricks emphasizes building tools for AI engineers and software developers to interact efficiently with Databricks' data and tools through vibe coding.
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