# Solutions

Databricks use-case solutions built on Lakebase, Agent Bricks, and Databricks Apps.

- [Introducing DevHub](https://developers.databricks.com/solutions/devhub-launch.md): A new developer hub for building on Databricks: opinionated, copy-pasteable templates and agent-ready documentation for software engineers.
- [How to Build Production-Ready Data and AI Apps with Databricks Apps and Lakebase](https://www.databricks.com/blog/how-build-production-ready-data-and-ai-apps-databricks-apps-and-lakebase): Build full-stack data apps on Databricks Apps with Lakebase synced tables that replicate Unity Catalog data in seconds, and ship everything as code with Databricks Asset Bundles. (Databricks Blog)
- [Ship quality enterprise AI agents to business users with Agent Bricks and Databricks Apps](https://www.databricks.com/blog/ship-quality-enterprise-ai-agents-business-users-agent-bricks-and-databricks-apps): Build domain-specific AI agents with Agent Bricks, deploy them through a chat UI on Databricks Apps, and distribute them to business users via Databricks One. (Databricks Blog)
- [How to use Lakebase as a transactional data layer for Databricks Apps](https://www.databricks.com/blog/how-use-lakebase-transactional-data-layer-databricks-apps): Walk through a holiday request app that uses Lakebase as the operational Postgres tier behind Databricks Apps, from database setup to a fully connected frontend. (Databricks Blog)
- [Database Branching in Postgres: Git-Style Workflows with Databricks Lakebase](https://www.databricks.com/blog/database-branching-postgres-git-style-workflows-databricks-lakebase): Use Lakebase copy-on-write branches to give every developer, pull request, and CI run an isolated Postgres environment, and power instant point-in-time recovery and ephemeral databases for AI agents. (Databricks Blog)