Feature availability

Chat with AI Assistant

Interact with LLMs and agents supported by AI Assistant.

Cloud code completion

Autocomplete single lines, blocks of code, or entire functions based on the project context.

Next edit suggestions

Receive suggestions on what might be changed next when modifying or writing code.

Suggest refactoring

Get refactoring suggestions for the selected code fragments.

Get help with name suggestions

Receive suggestions when renaming symbols in the editor.

Add Python type annotations

Generate Python type hints for functions and variables.

Generate code in the editor using prompts

Generate code in the editor using natural language prompts.

Convert pasted code to another language

Convert your code from one programming language to another.

Explain code

Ask AI to explain the selected code fragment.

Explain runtime error

Get explanations for errors that occur when running commands, queries, code, scripts, or unit tests.

Explain log errors

Get AI explanations for the errors in log files.

Explain CMake errors

Get help with investigating CMake execution problems.

Explain build errors and warnings

Explain any warnings or errors received in the Build tool window.

Explain compilation errors

Get help in analyzing build error messages.

Explain SQL code

Get explanations for SQL problems reported by the IDE.

Find problems

Identify issues in the selected code fragment and receive suggestions on how to fix them.

Fix SQL code

Receive suggested fixes for incorrect SQL queries.

Generate unit tests

Generate unit tests for code segments.

Generate documentation

Generate documentation for any item declaration.

Generate commit messages

Generate a commit message describing your changes.

Perform Self-Review with AI

Ask AI to review your updates before commiting them.

Edit and improve commit messages

Edit the message for already committed changes.

Explain commits

Summarize the changes made in one or several commits.

Generate title and description for pull and merge requests

Generate titles and descriptions for pull requests and merge requests.

Resolve Git conflicts with AI

Resolve merge conflicts with AI.

Generate summary of an incoming pull request

Generate a summary of an incoming pull request.

Generate shelf title

Generate a title for the silently shelved changelist.

Explain query plans

Ask AI to explain your query plans.

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Optimize queries

Optimize your query for better performance and efficiency.

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Generate terminal commands

Generate a terminal command using natural language prompts.

Explain Jupyter cells

Get explanations for the current Jupyter cell or the entire notebook.

Create code cells

Create a new code cell with AI-generated content.

Generate visualizations

Generate code snippets for data visualizations based on your dataframe.

Edit cells

Modify existing cells using AI.

Fix errors

Fix errors in a cell that fails to run.

Suggest Django intentions

Get suggestions for models, views, and other framework components.

Use third-party and local models

Configure AI Assistant to use locally hosted models or models provided by third parties.

Model Context Protocol (MCP)

Connect to MCP servers to extend AI Assistant's capabilities.

Agent Client Protocol (ACP)

Connect external AI agents and use them in the AI Chat.

Project rules

Define project-specific rules to help AI Assistant understand your code, tools, and coding conventions.

Prompt library

Create custom prompts or modify built-in prompts used for AI Assistant actions.