PocketBase GPT-PocketBase development assistant

Example

When you're structuring collections in PocketBase, PocketBase GPT helps design optimized database schemas based on project needs. If you're building a multi-user app with different user roles, PocketBase GPT can suggest the most appropriate schema designs, ensuring scalability and maintainability.

Scenario

Imagine you're building a task management app. PocketBase GPT could guide you in designing collections for 'tasks', 'users', 'projects', and 'comments', offering advice on how to establish relationships between them, what fields to include for efficient queries, and how to manage indexing for performance.

Example

PocketBase GPT assists developers in making API calls, handling authentication tokens, and integrating external services with PocketBase’s API. If you're trying to create a new data entry via the API or update user information securely, PocketBase GPT provides precise API requests, headers, and responses.

Scenario

Suppose you need to implement a feature where users can update their profile details. PocketBase GPT can walk you through the process of creating a PUT request to update a 'users' collection entry, while also advising on how to properly handle authentication and error checking for a seamless user experience.

Example

For apps requiring real-time data updates (like chat apps or collaborative tools), PocketBase GPT offers guidance on integrating real-time features using WebSockets. It provides examples on how to listen to events like 'create', 'update', and 'delete' and how to react to those events in your app.

Scenario

You're building a collaborative project board where users can add and edit tasks in real-time. PocketBase GPT can guide you on how to use PocketBase's real-time subscriptions, advising on setting up WebSocket listeners for task updates, ensuring that all connected clients are immediately notified about changes without manual refreshes.