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Review

JetBrains AI Review: Features, Integrations, and Pricing

2 min read

Updated

An in-depth review of JetBrains AI, the native AI assistant for IntelliJ, PyCharm, and WebStorm, detailing its features, pricing, and alternatives.

JetBrains AI Assistant is a deeply integrated AI-powered tool built specifically for the JetBrains ecosystem of Integrated Development Environments (IDEs), including IntelliJ IDEA, PyCharm, WebStorm, and others. Rather than operating as an external plugin, it is built directly into the editor interface to offer context-aware assistance, automated refactoring, and code generation.

Key Capabilities

  • Native JetBrains Integration: Designed to work seamlessly within JetBrains IDEs, aligning with native keyboard shortcuts, menus, and editor behaviors.
  • Project-Aware Context: Analyzes local codebase structures to deliver contextually relevant code suggestions and chat answers.
  • Refactoring Suggestions: Identifies code improvements and automatically executes multi-step refactoring operations.
  • Documentation Generation: Automatically generates docstrings, inline comments, and codebase documentation.
  • Commit Message Generation: Analyzes staged changes and drafts descriptive git commit messages.
  • Multi-Language Support: Works across all programming languages supported by JetBrains IDEs, with strong optimization for Java, Kotlin, Python, and JavaScript.

Key Features

Native Integration

Because JetBrains AI is built directly into the IDE, it feels like a natural part of the developer workflow rather than an added extension. It utilizes the IDE's built-in syntax trees and project indexes to operate faster and more reliably within the local environment.

Smart Refactoring

Unlike standard chat interfaces that only output code blocks, the assistant can directly modify your code, suggesting and executing complex refactorings such as renaming, extracting methods, and optimizing imports safely.

Automated Docs & Commits

Developers can offload routine writing tasks by letting the assistant analyze code changes to write documentation, explain existing code, or compile clean commit messages.

Ideal For:

  • JetBrains Users: Developers who already rely on IntelliJ, PyCharm, WebStorm, or Rider.
  • Java and Kotlin Developers: Projects requiring deep knowledge of the JVM ecosystem.
  • Enterprise Teams: Organizations looking for secure, IDE-native AI tools.
  • Refactoring Workflows: Teams focusing on legacy codebase modernization and code cleaning.

JetBrains AI Alternatives

If you are evaluating JetBrains AI, you may also want to compare it with other popular AI coding assistants on the market:

  • GitHub Copilot: A widely used, multi-IDE autocomplete and chat assistant.
  • Cursor: A standalone fork of VS Code built entirely around AI-first workflows.
  • Bolt.new & Lovable: Web-based full-stack generators for rapid prototyping.
  • Claude Code: A terminal-based coding agent powered by Anthropic's Claude.
  • Gemini Code Assist: Google's developer assistant integrated into various IDEs and Google Cloud.
  • Cline & Cody: Open-source and enterprise-focused AI plugins for codebases.