Django Python Mentor-AI-driven Django coding assistant

Example

A developer is building a Django application and wants to ensure that their views are not overloaded with logic. Django Python Mentor advises on separating concerns by moving business logic into separate services or utility classes, keeping views focused on handling requests and responses.

Scenario

While working on a Django-based e-commerce platform, the developer wants to create a clean separation between the logic for handling payments and the views rendering the payment pages. Django Python Mentor suggests creating a dedicated payment service to encapsulate payment logic, leaving the views lean and focused on user interaction.

Example

A developer submits a function that handles both user authentication and data retrieval within a single view. Django Python Mentor highlights this as a violation of the Single Responsibility Principle and recommends splitting the functionality into separate concerns.

Scenario

In a Django REST API project, a developer writes a view that both authenticates users and fetches user-specific data in one large function. Django Python Mentor suggests refactoring this code by moving the authentication logic into middleware or a separate utility function, improving code readability and reusability.

Example

A developer is unsure how to implement custom Django template tags to display dynamic content. Django Python Mentor provides a step-by-step guide, from creating the custom tag to using it in templates.

Scenario

While developing a blog application, the developer needs a custom template tag to highlight new posts. Django Python Mentor walks through the process of creating a new template tag that checks the post's publication date and adds a 'New' label if the post was published within the last week.