Keep models small and focused with verbose field names: Limit each model to one responsibility and use clear, descriptive names for fields to improve readability.

Avoid complex inheritance structures and favor simple abstract base classes: Use mixins or abstract base classes to keep your model hierarchy flat and easy to maintain.

Use related_name to simplify reverse relations: Use related_name to give meaningful names to reverse relations, especially when you have more than one relation pointing to the same model.

Write clear and concise model docstrings for self-documentation: Provide clear documentation for each model to improve code readability and help other developers understand how to use the models.

Normalize your data to avoid duplicate information: Normalize your data to avoid redundancy and improve consistency.

Avoid premature optimization and use Django's built-in ORM where possible: Don't optimize your code until it's necessary, and leverage Django's built-in ORM instead of writing complex SQL queries.

Write test cases for your models to ensure data integrity and minimize bugs: Write test cases to ensure data consistency and prevent bugs that could be costly to your application.