Snaplet Seed

What is Snaplet Seed?

Snaplet Seed is an AI-powered tool that lets developers automatically seed their relational databases with realistic, production-like mock data using Typescript. It helps developers stop building data from scratch by providing instant AI-generated seed data, saving time, improving accuracy, and enabling confident assertions. Snaplet provides realistic, production-like data for relational databases, making coding, debugging, and testing easier.

How to use Snaplet Seed?

Snaplet Seed allows you to generate data that looks like production data from your schema. Configure it via TypeScript to define and edit your data. It works seamlessly in your development workflow, providing data on your local machine, for E2E testing in CI/CD, and preview environments.

Snaplet Seed’s Core Features

AI-powered generation of realistic, production-like mock data TypeScript configuration for data definition and editing Automatic updates of values and relationships Seamless integration with local development, CI/CD, and preview environments

Snaplet Seed’s Use Cases

• Coding locally with production-like data to improve feature quality and reduce errors
• End-to-end testing with realistic data in CI/CD pipelines to catch bugs before production
• Debugging by replicating data-dependent bugs with custom AI-generated data