JetBrains AI Assistant integrates LLM-powered coding help, refactoring, and test generation natively into all JetBrains IDEs.
✓ Pros
- Deep native integration with IntelliJ, PyCharm, WebStorm, and all JetBrains IDEs
- AI understands project structure, frameworks, and language-specific semantics
- Inline refactoring, documentation generation, and test writing
- Multi-model backend (OpenAI, Google) with JetBrains choosing best model per task
✗ Cons
- Requires an existing JetBrains IDE subscription — no standalone product
- More expensive than alternatives when factoring in IDE costs
- Less powerful outside of JetBrains ecosystem
| Free tier | Paid only |
| Pricing model | subscription |
| Price (Monthly) | $10 USD |
| Features | |
| API | ✗ Not available |
| Pricing Plans | AI Assistant Add-on$10/user/moAdded to any JetBrains IDE subscription All Products Pack + AI~$30/user/moFull JetBrains suite plus AI features EnterpriseCustomVolume licensing, centralized admin, private deployment |
| Platforms | |
| Integrations | IntelliJ IDEA, PyCharm, WebStorm, GoLand, CLion, Rider, DataGrip, Space, YouTrack, TeamCity |
| Homepage | https://www.jetbrains.com/ai/ |
AI Commentary
JetBrains AI Assistant leverages both OpenAI and Google models, intelligently selecting the best option for each task type such as code completion, explanation, or test generation. Its deep IDE integration means the AI has rich context about your project: frameworks, dependencies, and code style are all factored into suggestions. JetBrains is developing its own AI models to reduce reliance on external providers. The assistant is best suited for developers already committed to the JetBrains ecosystem.
