Introduction: Get started with AI, refine in Typescript & React using the open-source Contember framework, and deploy with one CLI command.
Added on: Jan 20, 2025
AI-assisted Contember Studio

What is AI-assisted Contember Studio

Contember simplifies technical details like PostgreSQL setup, migrations, built-in auth, and role-based access, allowing you to focus on building your app, not configurations. With Contember, any developer can ship scalable and maintainable business apps quickly. It is open-source, full-stack, and developer-friendly, enabling you to define data models using TypeScript and instantly generate a GraphQL API for your data.

How to Use AI-assisted Contember Studio

  1. Define data models using TypeScript.
  2. Use the Contember Engine to generate a GraphQL API.
  3. Deploy your app with a single CLI command.
  4. Leverage Contember AI Studio to prototype in minutes and launch in days.

Use Cases of AI-assisted Contember Studio

Contember is ideal for custom business solutions, whether extending the core functionality of existing enterprise management systems or building new ones from scratch. It is a perfect fit for custom complex data-driven web apps.

Features of AI-assisted Contember Studio

  • Declarative role-based access control

    Easily define complex, cell-level access rules for your data, creating a secure and robust app environment.

  • Well-structured PostgreSQL database

    Contember utilizes PostgreSQL, a powerful, open-source object-relational database system, meaning you don't have to worry about setting up and managing your own database.

  • Schema migrations

    Update your schema, generate migration, and deploy across multiple environments with ease, allowing you to focus more on coding.

  • Event log and history

    Track every operation changing the content in the event log, simplifying debugging and auditing processes.

  • Everything is code and customizable

    Manage and deploy your entire application with version control systems like Git, simplifying multi-environment setups.

  • SQL views

    Define SQL views directly in your schema for virtual tables, simplifying data access and manipulation.