Context

Context provides DinoAI with information about your project and data warehouse, enabling more accurate and relevant assistance for analytics engineering tasks.

Context is what DinoAI uses to understand your project, data warehouse, and preferences. Better context means more relevant and accurate results.

With context, it can:

• Reference your specific code structure and naming conventions

• Access your warehouse metadata to reference real tables and columns

• Follow the patterns established in your existing files

Types of Context

DinoAI can utilize different types of context when generating code and answers:

• File Context - Individual files from your project

• Inline File Context - Specific code selections and line numbers from your editor

• Directory Context - Entire folders of related files

• Terminal Context - Terminal output, error messages, and command results

Using Context Effectively

The right context makes DinoAI dramatically more useful. Provide specific context by:

1. Adding individual files for targeted tasks

2. Adding directories for broader patterns

3. Including terminal output for debugging and learning

4. Using .dinorules for consistent standards

.dinorules

Use .dinorules to set persistent rules for how DinoAI generates code. These rules act as permanent context for all DinoAI interactions.