Claude Code vs JetBrains AI Assistant
Detailed comparison of features, performance, and use cases
98/100
Claude Code
The industry-leading agentic coding tool that lives in your terminal, understands entire codebases, and autonomously executes complex multi-file development tasks with unmatched precision.
Quick Verdict
Claude Code excels at agentic coding and complex refactoring with a score of 98/100. Claude Code represents the pinnacle of agentic coding technology.
90/100
JetBrains AI Assistant
Integrated AI coding assistant built into JetBrains IDEs, offering context-aware suggestions and explanations.
Quick Verdict
JetBrains AI Assistant excels at jetbrains ide users and enterprise development with a score of 90/100. JetBrains AI Assistant leverages the deep IDE integration and powerful static analysis capabilities of JetBrains tools.
📊 Visual Score Comparison
Side-by-side comparison of key performance metrics across six evaluation criteria
Technical Specifications
| Feature | Claude Code | JetBrains AI Assistant |
|---|---|---|
| Core AI Model(s) | Claude Opus 4.5 (flagship, 80.9% SWE-bench), Claude Sonnet 4, Claude Haiku 3.5. Opus 4.5 outperformed all human engineering candidates on Anthropic's internal hiring tests. | JetBrains AI Assistant uses a combination of models. It leverages its own proprietary LLM, Mellum, which is optimized for coding. It also provides access to third-party cloud models from providers like OpenAI, Google (Gemini 2.5 Pro), and Anthropic (Claude 3.7 Sonnet). |
| Context Window | 200,000 tokens standard, with Sonnet-1M support. Agentic search understands entire project structures without manual file selection. Monorepo baseline ~20K tokens, leaving 180K for active development. | The assistant is deeply integrated into the IDE and is context-aware, using information from the current project, including language versions, libraries, and related files, to generate more accurate prompts and suggestions. |
| Deployment Options | Terminal-native CLI via npm. Native VS Code and JetBrains IDE extensions. Headless mode for CI/CD and GitHub Actions. Enterprise deployment via AWS Bedrock or Google Cloud Vertex AI. | The AI Assistant is available as a plugin within JetBrains' commercial IDEs. For enterprise customers with strict data privacy needs, an on-premises solution is available through IDE Services, which can run in an air-gapped environment using local models like Llama 3.1 via Hugging Face. |
| Offline Mode | Cloud-based, requires internet. Designed for real-time agentic workflows. | Yes, JetBrains AI Assistant supports an offline mode. Users can connect to locally hosted models through tools like Ollama or LM Studio, allowing most AI features to function without an internet connection. However, some advanced features like multi-file edits are not available in offline mode. |
Core Features Comparison
Claude Code Features
- Agentic multi-file editing with autonomous planning and execution
- Industry-leading 200K token context window with full codebase understanding
- Native terminal integration with any IDE or editor
- Git workflow automation with PR creation and code review
- Model Context Protocol (MCP) for external tool integration
- Subagent architecture for complex task decomposition
- CLAUDE.md project memory for persistent context
JetBrains AI Assistant Features
- Context-aware code completion within JetBrains IDEs
- Code explanation and documentation generation
- Refactoring suggestions based on best practices
- Integration with JetBrains' powerful development tools
Pricing & Value Analysis
| Aspect | Claude Code | JetBrains AI Assistant |
|---|---|---|
| Pricing URL | View Claude Code Pricing | View JetBrains AI Assistant Pricing |
| Overall Score | 98/100 | 90/100 |
| Best For | Agentic Coding, Complex Refactoring, Multi-File Development, Code Architecture, Autonomous Task Execution | JetBrains IDE Users, Enterprise Development, Code Refactoring |
Best Use Cases
Claude Code Excels At
- Autonomous feature implementation: describe functionality in natural language and Claude Code plans, implements across multiple files, runs tests, and creates PRs
- Large-scale codebase refactoring with full context awareness—maintains consistency across hundreds of files without losing context
- Legacy code modernization by analyzing entire codebases and executing systematic upgrades with rollback capabilities
- CI/CD integration via headless mode for automated code review, testing, and deployment workflows
- Complex debugging: paste an error, and Claude Code analyzes the codebase, identifies root causes, and implements verified fixes
JetBrains AI Assistant Excels At
- Automated commit message generation based on code changes and project context
- Complex refactoring operations with AI understanding of code dependencies and design patterns
- Code explanation and documentation for team knowledge sharing and onboarding new developers
Performance & Integration
| Category | Claude Code | JetBrains AI Assistant | Winner |
|---|---|---|---|
| IDE Support | Terminal-native (works with ANY editor), plus native extensions for VS Code, Cursor, Windsurf, and JetBrains IDEs. | Fully integrated with the suite of JetBrains IDEs, including IntelliJ IDEA, PyCharm, WebStorm, CLion, ReSharper, and others. | Tie |
| Community | Active community | Active community | Tie |
| Data Richness | Comprehensive | Comprehensive | Tie |
| Overall Score | 98/100 | 90/100 | Claude Code |
The Bottom Line
Both Claude Code and JetBrains AI Assistant are capable AI coding tools, but they serve different needs. Claude Code scores higher (98/100 vs 90/100) and excels in agentic coding and complex refactoring. The choice depends on your specific workflow, team size, and technical requirements.
Choose Claude Code if: you prioritize agentic coding and complex refactoring and want the higher-rated option (98/100).
Choose JetBrains AI Assistant if: you prioritize jetbrains ide users and enterprise development and don't mind a slightly lower score for specialized features.