SwiftGPT-AI-driven iOS development help

Example

SwiftGPT can assist in creating data models using SwiftData, defining attributes, and setting up relationships between models. For example, it can help define a `Recipe` model with attributes like name and ingredients, making use of `@Model` macros and `@Attribute(.unique)` constraints to ensure data integrity.

Scenario

In a recipe management app, SwiftGPT can help define the schema for the Recipe and Ingredient models, set up one-to-many relationships, and ensure that the data is persisted correctly using SwiftData's automatic storage management.

Example

SwiftGPT can offer guidance on implementing modern concurrency features such as `async/await`, `TaskGroup`, and `Actor` to safely manage concurrent tasks and prevent race conditions.

Scenario

In a real-time data processing app, SwiftGPT can demonstrate how to use `TaskGroup` to concurrently fetch data from multiple APIs and aggregate the results efficiently, ensuring that no data conflicts or crashes occur.

Example

SwiftGPT provides examples on how to integrate SwiftData with SwiftUI using property wrappers like `@Query` to dynamically display data in views and handle live updates seamlessly.

Scenario

For a to-do list app, SwiftGPT can illustrate how to use the `@Query` property wrapper to fetch tasks from a SwiftData model and display them in a `List` view, automatically updating the UI whenever the underlying data changes.