brewdata

brewdata

AI-Powered Data Engineering in VS Code.
Accelerate your data workflows with our AI-driven VS Code extension. Effortlessly create models, generate transformations, and deploy to Snowflake - all within your favorite code editor.

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Powering the Future of dbt Development

brewdata accelerates your analytics engineering with seamless, context-rich assistance built right into your editor. Whether you’re building your first staging models or architecting complex data transformations, brewdata supercharges productivity by automating repetitive tasks and providing AI-driven guidance.

Built for dbt

Purpose-built for dbt projects and analytics engineers.

Deep integration with your project’s folder structures, naming conventions, and documentation standards.

Adapts to your team’s unique workflows and development styles, ensuring consistency and best practices.

Key Features

Codebase Indexing: Scans and indexes your entire dbt project for contextually aware responses.

Enhanced dbt Model Generation: Improved AI understanding of dbt patterns and best practices with project context.

Smart Schema Documentation: Automatically generates comprehensive schema.yml files with field descriptions.

dbt Macro Assistant: Builds intelligent macros with parameter validation and documentation support.

SQL Optimization: Provides advanced query performance suggestions tailored to your dbt models.

Context-Rich Conversations: Every AI interaction leverages your project’s structure and existing code for relevant, project-specific insights.

What brewdata Can Do for Your Projects?

Generate dbt Models

Build staging models, fact tables, and dimensional models from natural language descriptions.

Build dbt Macros

Develop reusable macros for data transformations and business logic.

Create Schema Files

Automatically generate schema.yml with comprehensive documentation.

Debug dbt Issues

Troubleshoot compilation errors, test failures, and performance problems with project-aware assistance.

Optimize SQL

Improve query performance and adhere to best practices based on your existing patterns.

Write dbt Tests

Create generic and singular tests for data quality assurance.

Document Your Project

Generate comprehensive project documentation and README files

Context-Aware Responses

Receive AI assistance that understands your project structure and conventions

Quick Start

1
Install Brewdata from the [VS Code Marketplace]
2
Open your dbt project folder in VS Code
3
Use the AI assistant for code, tests, and documentation
4
Run and validate your models on Snowflake