aerostack store
AI-powered data store management — generate schema changes from natural language and seed databases with realistic data.
Generate schema changes
Section titled “Generate schema changes”aerostack store schema [intent]Describe what you want in plain English. The agent analyzes your current schema and generates the SQL migration.
# Add a tableaerostack store schema "add a products table with name, price, and inventory"
# Modify existing tableaerostack store schema "add a soft delete column to the users table"
# Complex relationshipsaerostack store schema "add order items linked to orders and products with quantity and unit price"The command outputs a migration file ready to apply. Review it before running aerostack db migrate apply.
Seed your database
Section titled “Seed your database”aerostack store seed [flags]| Flag | Description |
|---|---|
--smart | Use AI to generate realistic, contextually appropriate seed data |
# Basic seed (uses existing seed files)aerostack store seed
# AI-generated realistic seed dataaerostack store seed --smartWith --smart, the AI generates data that makes sense for your domain — names, emails, product names, prices, etc. — rather than generic placeholder values.
Example workflow
Section titled “Example workflow”# 1. Describe what you needaerostack store schema "add a blog posts table with title, body, slug, published status, and author"
# 2. Review the generated migrationcat migrations/0005_add_blog_posts.sql
# 3. Apply itaerostack db migrate apply
# 4. Regenerate typesaerostack generate types
# 5. Seed with realistic dataaerostack store seed --smart