JetBrains AI

JetBrains AI

JetBrains AI Assistant seamlessly integrates with your IDE to help you code faster, smarter, and with less effort.

JetBrains AI

JetBrains AI Assistant

JetBrains AI Assistant provides context-aware code generation, advanced code completion, automated test creation, AI chat, and more features seamlessly integrated into your JetBrains IDE to enhance productivity and code quality. The 2024.3 release offers flexibility to choose your preferred chat model, selecting between Google Gemini, OpenAI, or local models to tailor interactions. Solo developers who already use JetBrains IDEs benefit from native integration without switching tools.

Strengths

  • Context-aware code generation leverages deep IDE integration for accurate suggestions
  • Multiple AI model options including Google Gemini, OpenAI, and local models
  • Deep static analysis integration gives AI access to IDE's analysis database for better understanding
  • Automated test creation and advanced code completion for multiple languages
  • Free tier available with refined AI tools right in your IDE
  • Native integration across all JetBrains IDEs without external dependencies

Weaknesses

  • Requires JetBrains IDE subscription for full functionality beyond free tier
  • AI Credits system with 30-day reset cycles may limit heavy usage
  • Limited to JetBrains IDE ecosystem only
  • May have less aggressive code generation compared to dedicated Cursor alternatives

Best for

Developers already invested in JetBrains IDEs who want integrated AI assistance.

Pricing plans

  • Free Tier — Free — Basic AI tools with usage limits
  • AI Assistant Subscription — AI Credits match subscription price ($1 USD per credit) — Extended AI usage with cloud credits
  • Premium Plans — Unknown — Higher credit allocations for intensive workloads

Tech details

  • Type: IDE plugin and integrated AI assistant
  • IDEs: All JetBrains IDEs (IntelliJ IDEA, PyCharm, WebStorm, etc.)
  • Key features: Context-aware code generation, advanced code completion, automated test creation, AI chat
  • Privacy / hosting: Cloud-based with local model options available in 2024.3
  • Models / context window: Google Gemini, OpenAI models, local models, context size unknown

When to choose this over Cursor

  • You already use JetBrains IDEs and want native AI integration
  • You need AI with access to IDE's static analysis database for deeper code understanding
  • You prefer multiple AI model options including local deployment

When Cursor may be a better fit

  • You use VSCode or other non-JetBrains editors
  • You want a dedicated AI-first coding experience
  • You need more aggressive autonomous code generation features

Conclusion

JetBrains AI Assistant seamlessly integrates with your IDE to help you code faster, smarter, and with less effort. For teams already using JetBrains IDEs, it provides excellent native AI capabilities without switching tools. The flexibility to choose between different AI models, including local options, makes it adaptable to various needs. However, those seeking the most Cursor alternatives may find dedicated AI coding tools offer more aggressive code generation features.

Sources

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