Build a Data Product with an AI Agent

Preview

If your team builds data products as code (dbt, Databricks) with a coding agent like Claude Code, a Data Product Builder lets the agent generate both the pipeline and the metadata from a data contract — in your existing engineering workflow.

Before you start

  • A Data Product Builder is configured for your organization (set up by Governance) and applies to your data product.
  • You use a supported coding agent: Claude Code, OpenAI Codex, or GitHub Copilot CLI.
  • You have an API key and the entropy-data CLI installed.

Steps

  1. Open your data product in Studio and go to the Builder tab.

    Data Product Builder tab on a data product

  2. Copy the install command shown for your coding agent and run it to install the plugin.

  3. Connect the agent to Entropy Data with the entropy-data CLI using your API key.

  4. Ask the agent to implement the data product. It reads the linked data contracts, generates the pipeline, and runs datacontract test to verify the data matches the schema and quality rules.

    Claude Code running the implement skill

  5. The agent ships the change as a pull request. Review and merge it as usual; metadata syncs back to Entropy Data.

Next steps