Supported AI Tools
Complete list of AI tools and code assistants that work seamlessly with Aki UI components.
AI-Powered Development with Aki UI
Aki UI is designed to work seamlessly with modern AI tools and code assistants. Our llms.txt standard and MCP integration provide optimal context for AI-powered development.
Quick Setup
Code Completion
3 toolsGitHub Copilot
Code Completion
AI-powered code completion and chat assistance directly in your IDE.
Key Features:
- Real-time code suggestions
- Chat-based component generation
- Context-aware completions
- Multi-language support
Setup: Add llms.txt URL to chat context
Codeium
Code Completion
Free AI-powered code completion and chat.
Key Features:
- Code autocompletion
- AI chat
- Multiple IDE support
- Team features
Setup: Configure in IDE settings
Tabnine
Code Completion
AI code completion with privacy-focused options.
Key Features:
- Local and cloud models
- Team training
- Privacy controls
- Enterprise features
Setup: Add to team documentation
AI-First Editor
2 toolsCursor IDE
AI-First Editor
AI-native code editor with built-in AI assistance and chat.
Key Features:
- AI chat integration
- Codebase understanding
- Intelligent refactoring
- Custom rules support
Setup: Configure .cursorrules file
Windsurf Editor
AI-First Editor
AI-powered editor with collaborative features.
Key Features:
- AI collaboration
- Real-time suggestions
- Team features
- Multi-model support
Setup: Add llms.txt to project
AI Assistant
2 toolsClaude (Anthropic)
AI Assistant
Advanced AI assistant with excellent code understanding and generation.
Key Features:
- MCP integration
- Large context window
- Code analysis
- Documentation parsing
Setup: Use MCP server or share llms.txt
ChatGPT
AI Assistant
Popular AI assistant with code generation capabilities.
Key Features:
- Custom instructions
- Code generation
- Problem solving
- Documentation help
Setup: Share llms.txt URL in conversations
Open Source
1 toolsContinue.dev
Open Source
Open-source AI code assistant with MCP support.
Key Features:
- MCP integration
- Local model support
- Customizable
- Privacy-focused
Setup: Configure MCP server
Integration Tips
Best Practices
- • Always provide llms.txt URL for context
- • Use specific component names in prompts
- • Request TypeScript for better type safety
- • Ask for accessibility best practices
- • Mention responsive design requirements
- • Include dark mode considerations
Common Issues
- • AI using outdated component APIs
- • Missing import statements
- • Incorrect prop types or names
- • Not following Aki UI patterns
- • Forgetting responsive utilities
- • Inconsistent styling approaches
Ready to Get Started?
Choose your preferred AI tool and follow our setup guide to start building amazing UIs with AI assistance.