Use prompts to explain, refactor, and suggest changes to your code

1. Select a code fragment and right-click it to open the context menu.

   Alternatively, select a code fragment and press Alt+Enter.

2. Select AI Actions and then Explain Code.

   The AI Assistant tool window will open to provide you with an explanation.

   

   Click Attached elements to see the list of files that provided the necessary context for generating the answer.

   

1. Click Explain DataFrame in the upper-right corner of the output cell.

   

2. The AI Assistant tool window will open to provide the detailed description of the dataframe.

   

1. Select a code fragment and right-click it to open the context menu.

   Alternatively, select a code fragment and press Alt+Enter.

2. Select AI Actions and then Suggest Refactoring.

   The AI chat will open to offer you refactoring suggestions.

   

3. In the field with the refactored code, click See Diff and Apply to open the diff viewer. To skip the diff viewing step, expand the list next to See Diff and Apply and select Apply Immediately.

   In the diff viewer, use Unified or Two-Side view to review the suggested changes.

   

4. If you like the result, click Accept in the gutter to move the selected AI-generated code snippets to the source file, or click Accept all to fully replace the originally selected code fragment. Otherwise, close the diff viewer to skip the suggested refactoring.

1. Select a code fragment and right-click it to open the context menu.

   Alternatively, select a code fragment and press Alt+Enter.

2. Select AI Actions and then Find Problems.

   The AI chat will open to show the potential issues you may want to look into.

   

1. Click Explain with AI in the console.

   

   The AI Assistant tool window will open to give you an explanation of the error and suggest a fix.

2. If you want to use the suggested fix, click in the field with the refactored code to put the AI-generated code into the editor.

   

1. Select a code fragment and right-click it to open the context menu.

   Alternatively, select a code fragment and press Alt+Enter.

2. Select AI Actions and choose the Django intention.

   

   Create Django View For Model

   AI Assistant suggests the code of a class-based view for the selected model along with the steps required to implement it in your project.

   This action is available only for Django models.

   Custom Django Intention

   AI Assistant provides the possible actions for the selected entity.

   

   Create Django Admin For Model

   AI Assistant suggests the code required to register the selected model in the Django admin interface along with other necessary steps.

   Create Django Serializer For Model

   AI Assistant suggests the code of a Serializer class along with other necessary steps.

   Custom Django Smart Chat Intention

   AI Assistant provides the possible actions for the selected entity taking into account the context of your project provided as attached elements in the chat.

   

1. Do one of the following:

   • Right-click anywhere in the editor to open the context menu, then go to AI Actions | Add Your Prompts.

   • Press Alt+Enter, select AI Actions, and click Add your prompts.

   • Press Ctrl+Alt+S to open the IDE settings and then select Tools | AI Assistant | User Prompts Library.

2. Click to create a new prompt.

   

3. In the text field, write the prompt.

   If needed, click the $SELECTION variable to add a Markdown-formatted code block with current code selection and language name to the new prompt.

4. Edit the new prompt name.

   Select the first checkbox if you want AI Assistant to wait for you to make additional input in the chat after invoking the prompt.

   Keep the second checkbox if you want your new prompt to be listed in the AI Actions menu.

   

5. Click Apply.

Once you create a prompt, you can edit or delete it at any time.