Databricks unveiled Agent Bricks, a unified workspace that automates agent building and optimization using customers’ enterprise data and synthetic equivalents. A key part of the release involves the use of large language model automated “judges” that generate questions and expected answers to assess model performance. This is presumably to resolve situations such as the one described by Ali Ghodsi, co-founder and chief executive, where one automaker expressed concern to him about an agent that was recommending a competitor’s cars. The company also released Lakebase, a managed Postgres database built for AI, added an operational layer to the firm’s Data Intelligence Platform. Lakebase builds on the company’s acquisition of Neon Inc. Neon’s serverless PostgreSQL platform allows developers to add support for data structures where AI models keep information. Another offering called Lakeflow Designer, is a no-code capability allows users to author production data pipelines by using a drag-and-drop interface and a natural language generative AI assistant. It’s the latest entry in the field of “vibe coding.” Through tools such as Agent Bricks and Lakebase, Databricks is building the infrastructure to support this change in how software is created and deployed.