Validate Pipelines Before Deploying

Use bruin validate to check pipeline configurations, asset definitions, SQL syntax, dependency issues, and circular dependencies before deploying.

Updated March 3, 2026

What

Goal - Use bruin validate to catch configuration errors, syntax issues, and dependency problems before running or deploying your pipelines.

Audience - Anyone building pipelines with Bruin who wants to catch errors early.

Prerequisites

Use Bruin Cloud's chat to ask an AI agent about your data, generate reports, and run Bruin Cloud CLI tasks like pipeline status and history.

Create and configure AI agents in Bruin Cloud - pick a project, add messaging integrations, attach a connection set, and set permissions.

Set up the Bruin Cloud MCP so your AI agent can query pipelines, inspect runs, and trigger actions in Bruin Cloud directly from your terminal.

Practical updates on open-source data pipelines, AI analysts, governance, and what we are shipping at Bruin.