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JetBrains AI Assistant

JetBrains AI Assistant is a powerful plugin that brings AI-powered capabilities to JetBrains' family of integrated development environments. It connects your IDE to both third-party and proprietary large language models, each optimized for specific programming tasks. This integration enables the AI Assistant to provide precise, context-aware assistance that understands your codebase and development needs.

The plugin enhances developer productivity across the entire development cycle—from writing code and documentation to debugging and testing. It can generate code snippets, complete complex code structures, create automated tests, and explain code functionality. JetBrains AI Assistant is designed to work seamlessly within the familiar JetBrains IDE interface, providing intelligent suggestions while allowing developers to maintain control over their development process.

Discussions

Joe Seifi's avatarJS
Builder, tinkerer, and lifelong learner. I’m the…

Worth paying for JetBrains AI Assistant?

I've been trying out JetBrains AI in PyCharm and IntelliJ. The integration is smooth and it feels nice not having to switch windows for ChatGPT or Copilot—but I'm not sure it's $10/month?

2

Developer

JetBrains develops intelligent, productivity-enhancing tools for software developers, including IDEs and team collaboration tools.

Pricing and Plans

PlanPriceFeatures
FreeFree
  • Basic AI assistance with limited usage
Personal$10/monthly
  • Full features for individual developers
Professional$20/monthly
  • Enhanced capabilities for professional use
EnterpriseContact us
  • Team features and organization-wide deployment

System Requirements

Operating System
Windows, macOS, or Linux (compatible with JetBrains IDE requirements)
Memory (RAM)
8GB (minimum), 16GB (recommended)
Processor
Modern multi-core processor
Disk Space
JetBrains IDE requirements + 300MB

AI Capabilities

Contextual code understanding
Multi-language code generation
Test case creation
Documentation generation
Bug identification and fixing
Refactoring suggestions
Natural language code queries
Learning from coding patterns