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DinoAI Code Mode can help you tackle a wide range of analytics engineering tasks by automating repetitive work and ensuring consistency across your dbt™ project. These use cases showcase how you can leverage Code Mode to accelerate your development workflow.

🏭 Creating Sources from your Warehouse

Automatically generate complete and accurate sources.yml files by directly accessing your data warehouse metadata.

🧩 Generating dbt™ Models

Build sophisticated data models quickly by leveraging your existing project patterns and data warehouse schema.

🔧 Fixing Errors with Jira

Streamline the process of fixing production issues by connecting ticket information directly to your development workflow.

🔍 Researching with Perplexity

Access the latest technical information, best practices, and examples to improve your analytics engineering.

📄 Enhanced Dyno Knowledge with PDFs

Enrich DinoAI’s context with project-specific information contained in PDF documentation, specifications, or reports.
Getting Started TipFor best results with DinoAI, start with the Creating Sources from your Warehouse use case. This establishes a solid foundation for your project by accurately mapping your data sources, which you can then reference when generating models.