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Hamlet uses Databricks Lakebase Postgres to test changes against production data with AI agents

Hamlet gives every pull request its own Lakebase Postgres branch of production data so engineers and AI coding agents can test changes safely.

Hamlet uses Databricks Lakebase Postgres to test changes against production data with AI agents — image from Databricks
Image: Databricks

Summary

Hamlet uses Databricks Lakebase Postgres to give every pull request an isolated database branch containing production data. This lets engineers and AI coding agents like Claude or Codex run pipelines, apply migrations, and verify fixes without touching production. A human reviewer still approves every merge before deployment.

What changed

  • Hamlet gives every pull request its own Lakebase Postgres branch of production data.
  • AI coding agents run data pipelines and check their work on each branch before a person approves the merge.
  • Hamlet is exploring Lakebase Search for vector and text search in Postgres.

Availability

Available now

“Lakebase is the managed Postgres database Hamlet uses to give each pull request its own branch of production data.”

Founder takeaway

Small engineering teams can pair database branching with AI coding agents to test changes on production-like data safely without risking production environments.

Source

DatabricksHow Hamlet uses Databricks Lakebase Postgres to test changes against production data

Announced Checked

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