The DinoAI agent panel
Click the DinoAI icon in the top-right corner of the IDE to open the agent panel. From there you can:- Describe what you want to build in natural language and let DinoAI plan and apply changes across your project.
- Add context to your prompt, such as files from your repository.
- Pick the AI model that powers your session.
- Connect your tools to DinoAI to extend what the agent can reach.
- Start from a suggested action, such as Explain this model, Debug failing dbt model, Document my dbt model, Refactor dbt model, Create .dinorules, or Create .dinoprompts.
Right-click co-pilot actions
Right-click anywhere in a file and hover over DinoAI Co-pilot to run an AI action against the current file:- Generate .dinorules and Generate .dinoprompts to codify your project standards. See Context & Customization.
- Convert model to incremental
- Optimize model performance
- Refactor my dbt model to follow dbt best practices
- Debug failing dbt model
- Document my dbt model
- Generate a dbt sources file and Update a dbt sources file
- Generate base dbt model from source
- Generate pull request description
- Implement a ticket
F1), and Add Filename to Chat in the right-click menu sends the current file to the agent panel as context.
AI-assisted version control
In the Git Lite panel, DinoAI can do the writing for you:- Write commit generates a commit message from your staged changes.
- Draft PR with DinoAI drafts a pull request, including the description, from your branch changes.
Documentation generation
In the Catalog tab of the bottom panel, click Generate with DinoAI to create a context-aware description for the model you have open. See Auto-generate documentation for details.Explore DinoAI’s full capabilitiesDinoAI also offers tool integrations, context awareness, an MCP Server, and more. See the complete DinoAI documentation.