Road Map

Generative AI Integration

Leverage generative AI to automatically generate code models based on user-defined parameters or requirements. This involves the AI understanding the overall architecture or logic of the application and creating code structures, classes, and relationships that align with best practices. Developers can input high-level descriptions, and the AI will produce a detailed code model, complete with functions, methods, and data structures. This can be especially useful for rapidly prototyping new features or starting new projects, as the AI can provide a solid foundation that developers can then refine.

To Code Studio

Provide a studio tool that allows developers to visually design and manage code models. This could include drag-and-drop interfaces for defining relationships between different components, entities, or services within the application. The interface would be intuitive, enabling developers to focus on the logic and flow of their application without getting bogged down in syntax or low-level coding details.

Integration with Git Source Control

Integrate the code model designer with Git for source control, ensuring that every change made to the code or design models is versioned. This allows developers to track changes, revert to previous versions, and maintain a history of the development process. This integration ensures that the AI-generated code models and any subsequent modifications are fully documented and can be collaboratively developed with ease.