Buster

Buster is a platform of AI agents built for data and analytics engineering teams. It helps automate routine work around dbt projects and data infrastructure so teams can spend less time on repetitive maintenance.

What Buster automates

Buster’s agents handle common analytics engineering workflows, including:

• Pull request reviews for dbt and related data code
• Data quality monitoring and issue detection
• Tracking and resolving upstream changes that break pipelines
• Keeping dbt documentation current and consistent

Keeping dbt projects reliable

Buster is designed to keep dbt pipelines stable, well-documented, and consistent across a team. It flags problems early, suggests fixes, and supports shared standards so changes are easier to review and maintain over time.

Who it’s for

Buster is used by data and analytics engineers, especially in growing analytics stacks where it’s important to find and fix data issues quickly without pulling engineers away from higher-priority work.