Supported Integrations
AIConfig works with all major AI coding assistants. One config file, unlimited compatibility.
GitHub Copilot
Full support for GitHub Copilot instructions and workspace context.
Config file:
.copilot/instructions.mdSupported features:
- Custom instructions
- Workspace rules
- File ignores
Cursor
Complete integration with Cursor's .cursorrules system.
Config file:
.cursorrulesSupported features:
- Project rules
- File-specific rules
- Agent mode settings
Windsurf
Native support for Windsurf assistant configuration.
Config file:
.windsurf/config.jsonSupported features:
- Context rules
- Coding style
- Framework preferences
Tabnine
Integration with Tabnine's configuration system.
Config file:
.tabnine/config.jsonSupported features:
- Team learning
- Code patterns
- Style enforcement
Codeium
Support for Codeium custom context and rules.
Config file:
.codeium/config.yamlSupported features:
- Context management
- Custom prompts
- Workspace settings
Continue
Full support for Continue.dev configuration.
Config file:
.continue/config.jsonSupported features:
- Custom commands
- Context providers
- Model settings
Amazon CodeWhisperer
Full integration with AWS CodeWhisperer.
Config file:
.codewhisperer/config.jsonSupported features:
- Code generation rules
- Security scanning
- Reference tracking
JetBrains AI Assistant
Support for JetBrains' native AI assistant.
Config file:
.jetbrains/ai-config.xmlSupported features:
- IDE integration
- Context awareness
- Refactoring rules
Pieces for Developers
Integration with Pieces AI workflow engine.
Config file:
.pieces/config.yamlSupported features:
- Snippet management
- Context capture
- Workflow automation
Mutable.ai
Upcoming support for Mutable AI assistant.
Config file:
TBDSupported features:
- Coming soon
Sourcegraph Cody
Upcoming support for Sourcegraph Cody.
Config file:
TBDSupported features:
- Coming soon
Replit AI
Future integration with Replit's AI assistant.
Config file:
TBDSupported features:
- Coming soon
Build Custom Adapters
AIConfig's adapter system is fully extensible. Create adapters for internal tools, experimental AI assistants, or proprietary systems.
Adapter API
- Simple TypeScript interface
- Full access to parsed config
- File system utilities included
- Test helpers provided
Use Cases
- Internal AI tools
- Custom LLM integrations
- IDE-specific configs
- Team-specific workflows
Missing Your Favorite Tool?
We're constantly adding new integrations. Request support for your AI assistant or contribute an adapter to the project.