JetBrains AI 2026: Full Features & Review

Overview of JetBrains AI

JetBrains AI is not a separate product but a deeply integrated feature set across JetBrains IDEs. It brings AI-assisted coding directly into the editor, leveraging large language models for code completion, generation, refactoring, and explanation. Unlike standalone AI tools, JetBrains AI understands your project structure, codebase, and even local context, making suggestions that feel native to your workflow. As of 2026, it supports multiple AI providers, including JetBrains' own models and third-party like OpenAI's GPT-4.

Full AI Assistant in IntelliJ

The AI Assistant in IntelliJ IDEA (and other IDEs like PyCharm, WebStorm) offers several features:

• AI Code Completion: Provides whole-line and multi-line completions based on context. It uses a model fine-tuned on code and considers open files, recent edits, and language syntax.
• AI Chat: A chat panel that can answer questions about your code, suggest fixes, or generate code snippets. It has project-wide awareness, so you can ask things like "Find all places where we handle null pointers" or "Generate a Spring Boot controller for this entity".
• Code Generation: Generate methods, classes, tests, or even whole files from natural language descriptions. Works seamlessly with existing code styles and frameworks.
• Refactoring Assistance: Suggest refactorings and explain complex code. For example, "Simplify this lambda" or "Convert to switch expression".
• Commit Message Generation: Generate meaningful commit messages from your changes.
• Documentation Generation: Create Javadoc/KDoc comments or Markdown docs.

These features are powered by models that run in the cloud or locally (for smaller tasks). JetBrains AI uses a hybrid approach: simple completions happen on-device for speed, while complex reasoning queries go to the cloud.

JetBrains AI vs GitHub Copilot

Both tools offer AI-assisted coding, but they differ in philosophy and integration:

• Integration Depth: JetBrains AI is native to JetBrains IDEs, meaning it uses internal APIs for refactoring, navigation, and language understanding. GitHub Copilot is a plugin with less deep access; it works across multiple editors but lacks tight integration with IDE-specific features.
• Context Awareness: JetBrains AI sees your entire project, including build files, dependency configuration, and run configurations. Copilot primarily sees the open file and surrounding tabs.
• Multi-Model Support: JetBrains AI lets you choose from different AI providers and models, including GPT-4 and JetBrains' own lightweight model. Copilot is tied to OpenAI's models (Codex series).
• Pricing: JetBrains AI is available as an add-on to JetBrains IDE subscriptions, starting at $10/month for the AI Pro plan (as of 2026). Copilot costs $10/month for individual users. Enterprise pricing varies.
• Platform Lock-in: JetBrains AI only works in JetBrains IDEs, while Copilot supports VS Code, JetBrains, Neovim, and others. If you use multiple editors, Copilot is more flexible.

For developers already using JetBrains IDEs, JetBrains AI feels more natural and deeply integrated. Copilot is a solid alternative if you switch editors often or prefer a lighter integration.

Setting Up JetBrains AI

Setting up JetBrains AI is straightforward if you already use a JetBrains IDE:

1. Install the AI Assistant plugin: Open Settings (Ctrl+Alt+S), go to Plugins, search for "AI Assistant", and install it. The plugin is included in many IDEs by default now, but verify.
2. Sign in to JetBrains Account: You need an active subscription that includes AI features. Go to Settings > Tools > AI Assistant and authenticate.
3. Choose AI Provider: Select between JetBrains AI (default) or connect your own OpenAI API key. JetBrains AI Pro includes tokens for JetBrains' own models.
4. Configure Privacy: Decide whether to send code snippets to the cloud for completions or keep everything local. Local only reduces functionality but keeps your code on your machine.
5. Start Using: Use shortcuts like Alt+Enter for AI actions, or open the AI Chat panel via the icon on the right toolbar.

That's it. The AI features work out of the box with sensible defaults.

Pricing and Availability

JetBrains AI is available as part of the JetBrains All Products Pack or as a standalone add-on for individual IDE subscriptions. As of 2026, pricing tiers:

• JetBrains AI Basic: Comes with IDE subscriptions at no extra cost. Includes limited AI completions and chat (100 requests per day).
• JetBrains AI Pro: $10/month per user. Unlimited completions, advanced chat, code generation, commit messages, and documentation. Also includes access to larger models.
• Enterprise: Custom pricing for organizations with admin controls, data residency, and priority support.

Student and teacher licenses include AI Basic for free. The Pro plan is comparable to GitHub Copilot's $10/month tier.

JetBrains also offers an on-premises option for businesses that require complete data control, though it requires separate licensing.

Pros and Cons

Pros:

• Deep IDE integration: works with existing refactoring, navigation, and inspections.
• Project-wide context: suggestions and answers consider your entire codebase, not just open files.
• Multi-model flexibility: choose providers and models to balance quality, cost, and privacy.
• Feature-rich: beyond completions, includes chat, documentation, commit messages, and refactoring advice.
• Fast local completions for simple suggestions.

Cons:

• Requires JetBrains IDE; no standalone version.
• Pricing can be higher than some alternatives when combined with IDE subscription costs.
• Some features (like chat) rely on cloud processing, raising data privacy concerns for sensitive code.
• Learning curve for configuring providers and understanding privacy options.

For teams already invested in JetBrains tools, this is a no-brainer upgrade. For others, consider alternatives like Junie or other GitHub Copilot alternatives.