Weiter.dev Cheat Sheet
Überblick
Continue.dev ist ein Open-Source-KI-Code-Assistent, der Entwickler in volle Kontrolle bringt. Es ist modell-agnostisch, hoch anpassbar und kann mit jedem LLM-Anbieter oder lokal gehosteten Modellen laufen. Perfekt für Teams, die Flexibilität und Privatsphäre benötigen.
ZEIT Note: Freie und Open Source, unterstützt mehrere LLM-Anbieter
Installation
VS-Code
```bash
Install from VS Code Marketplace
Search for "Continue" in Extensions
Or install via command line
code --install-extension Continue.continue
Verify installation
Check Extensions panel for Continue
```_
JetBrains IDEs
```bash
Install from JetBrains Plugin Repository
Go to File > Settings > Plugins
Search for "Continue" and install
Restart IDE after installation
```_
Manuelle Installation
```bash
Clone repository
git clone https://github.com/continuedev/continue.git cd continue
Install dependencies
npm install
Build extension
npm run build
Package for VS Code
npm run package ```_
Erstkonfiguration
Basic Setup
json
// ~/.continue/config.json
\\\\{
"models": [
\\\\{
"title": "GPT-4",
"provider": "openai",
"model": "gpt-4",
"apiKey": "your-openai-api-key"
\\\\}
],
"tabAutocompleteModel": \\\\{
"title": "Codestral",
"provider": "mistral",
"model": "codestral-latest",
"apiKey": "your-mistral-api-key"
\\\\}
\\\\}_
Mehrere Modell-Setup
json
\\\\{
"models": [
\\\\{
"title": "GPT-4 Turbo",
"provider": "openai",
"model": "gpt-4-turbo-preview",
"apiKey": "your-openai-key"
\\\\},
\\\\{
"title": "Claude 3",
"provider": "anthropic",
"model": "claude-3-opus-20240229",
"apiKey": "your-anthropic-key"
\\\\},
\\\\{
"title": "Local Llama",
"provider": "ollama",
"model": "llama2:7b"
\\\\}
]
\\\\}_
Modellanbieter
OpenAI
json
\\\\{
"title": "GPT-4",
"provider": "openai",
"model": "gpt-4",
"apiKey": "sk-...",
"apiBase": "https://api.openai.com/v1",
"requestOptions": \\\\{
"temperature": 0.7,
"maxTokens": 2048
\\\\}
\\\\}_
Anthropischer Claude
json
\\\\{
"title": "Claude 3",
"provider": "anthropic",
"model": "claude-3-opus-20240229",
"apiKey": "sk-ant-...",
"requestOptions": \\\\{
"temperature": 0.5,
"maxTokens": 4096
\\\\}
\\\\}_
Lokale Modelle (Ollama)
json
\\\\{
"title": "Local Code Llama",
"provider": "ollama",
"model": "codellama:7b",
"apiBase": "http://localhost:11434",
"requestOptions": \\\\{
"temperature": 0.2,
"numPredict": 1024
\\\\}
\\\\}_
Azure OpenAI
json
\\\\{
"title": "Azure GPT-4",
"provider": "azure",
"model": "gpt-4",
"apiKey": "your-azure-key",
"apiBase": "https://your-resource.openai.azure.com",
"apiVersion": "2023-12-01-preview",
"deploymentName": "gpt-4-deployment"
\\\\}_
OpenRouter
json
\\\\{
"title": "OpenRouter GPT-4",
"provider": "openrouter",
"model": "openai/gpt-4",
"apiKey": "sk-or-...",
"requestOptions": \\\\{
"temperature": 0.7
\\\\}
\\\\}_
Basisnutzung
Chat Schnittstelle
```bash
Open Continue chat
Ctrl+Shift+M (VS Code) Ctrl+Shift+J (JetBrains)
Quick chat
Ctrl+I (VS Code) Ctrl+Shift+I (JetBrains)
Chat with selection
1. Select code
2. Right-click > "Continue: Chat"
3. Or use Ctrl+Shift+M
```_
Code Generation
```javascript // Type comment and use Continue // Generate a REST API endpoint for user authentication // Continue will suggest implementation
// Or use chat: // "Create a React component for file upload with drag and drop" ```_
Code Erläuterung
```bash
Select code and ask:
"Explain this function" "What does this regex do?" "How does this algorithm work?" "What are the potential issues with this code?" ```_
Keyboard Shortcuts
| | Shortcut | Action | IDE | |
| --- | --- | --- |
| | Ctrl+Shift+M | Open chat | VS Code | |
| | Ctrl+I | Quick chat | VS Code | |
| | Ctrl+Shift+L | Select code for chat | VS Code | |
| | Ctrl+Shift+J | Open chat | JetBrains | |
| | Ctrl+Shift+I | Quick chat | JetBrains | |
| | Tab | Accept autocomplete | All | |
| | Esc | Dismiss autocomplete | All | |
| | Ctrl+Shift+Enter | Apply suggestion | All | |
Erweiterte Konfiguration
Benutzerdefinierte Slash-Befehle
json
\\\\{
"slashCommands": [
\\\\{
"name": "test",
"description": "Generate unit tests",
"prompt": "Generate comprehensive unit tests for the selected code. Include edge cases and mock dependencies."
\\\\},
\\\\{
"name": "optimize",
"description": "Optimize code performance",
"prompt": "Analyze the selected code and suggest performance optimizations. Focus on time complexity and memory usage."
\\\\},
\\\\{
"name": "security",
"description": "Security review",
"prompt": "Review the selected code for security vulnerabilities. Check for common issues like SQL injection, XSS, and authentication flaws."
\\\\}
]
\\\\}_
Context Provider
json
\\\\{
"contextProviders": [
\\\\{
"name": "codebase",
"params": \\\\{
"nRetrieve": 25,
"nFinal": 5,
"useReranking": true
\\\\}
\\\\},
\\\\{
"name": "file",
"params": \\\\{\\\\}
\\\\},
\\\\{
"name": "folder",
"params": \\\\{\\\\}
\\\\},
\\\\{
"name": "git",
"params": \\\\{\\\\}
\\\\},
\\\\{
"name": "github",
"params": \\\\{
"repos": [
\\\\{
"owner": "microsoft",
"repo": "vscode"
\\\\}
]
\\\\}
\\\\}
]
\\\\}_
Benutzerdefinierte Modellkonfiguration
json
\\\\{
"models": [
\\\\{
"title": "Custom Local Model",
"provider": "openai",
"model": "custom-model",
"apiBase": "http://localhost:8000/v1",
"apiKey": "not-needed",
"requestOptions": \\\\{
"temperature": 0.3,
"maxTokens": 2048,
| "stop": ["< | endoftext | >"] |
\\\\}
\\\\}
]
\\\\}_
Autocomplete Konfiguration
Tab Autocomplete
json
\\\\{
"tabAutocompleteModel": \\\\{
"title": "Codestral",
"provider": "mistral",
"model": "codestral-latest",
"apiKey": "your-mistral-key"
\\\\},
"tabAutocompleteOptions": \\\\{
"useCopyBuffer": true,
"maxPromptTokens": 1024,
"prefixPercentage": 0.85,
"maxSuffixPercentage": 0.25,
"debounceDelay": 300
\\\\}
\\\\}_
Autocomplete Provider
json
\\\\{
"tabAutocompleteModel": \\\\{
"title": "Local Autocomplete",
"provider": "ollama",
"model": "deepseek-coder:6.7b",
"requestOptions": \\\\{
"temperature": 0.1,
"numPredict": 256
\\\\}
\\\\}
\\\\}_
Kontextmanagement
Dateikontext
```bash
Add files to context
@file:src/utils/auth.js
Add multiple files
@file:src/components/Button.tsx @file:src/styles/button.css
Add entire folders
@folder:src/components ```_
Codebase Kontext
```bash
Search codebase for relevant context
@codebase "authentication functions"
Find similar code patterns
@codebase "React hooks for API calls"
Search for specific implementations
@codebase "error handling middleware" ```_
Gier Kontext
```bash
Reference git history
@git "recent changes to authentication"
Compare branches
@git "differences between main and feature-branch"
Reference specific commits
@git "changes in commit abc123" ```_
Kundenspezifische Integrationen
Datenbankintegration
json
\\\\{
"contextProviders": [
\\\\{
"name": "database",
"params": \\\\{
"connectionString": "postgresql://user:pass@localhost:5432/db",
"tables": ["users", "orders", "products"]
\\\\}
\\\\}
]
\\\\}_
API Dokumentation
json
\\\\{
"contextProviders": [
\\\\{
"name": "docs",
"params": \\\\{
"urls": [
"https://docs.stripe.com/api",
"https://docs.github.com/en/rest"
]
\\\\}
\\\\}
]
\\\\}_
Jira Integration
json
\\\\{
"contextProviders": [
\\\\{
"name": "jira",
"params": \\\\{
"domain": "your-company.atlassian.net",
"token": "your-jira-token",
"email": "your-email@company.com"
\\\\}
\\\\}
]
\\\\}_
Sprach-spezifische Konfiguration
Python Setup
json
\\\\{
"models": [
\\\\{
"title": "Python Specialist",
"provider": "openai",
"model": "gpt-4",
"systemMessage": "You are a Python expert. Always follow PEP 8 style guidelines and use type hints."
\\\\}
]
\\\\}_
JavaScript/TypScript
json
\\\\{
"models": [
\\\\{
"title": "TS Expert",
"provider": "anthropic",
"model": "claude-3-opus-20240229",
"systemMessage": "You are a TypeScript expert. Always use strict typing and modern ES6+ features."
\\\\}
]
\\\\}_
Rust Configuration
json
\\\\{
"models": [
\\\\{
"title": "Rust Helper",
"provider": "ollama",
"model": "codellama:7b",
"systemMessage": "You are a Rust expert. Focus on memory safety, performance, and idiomatic Rust code."
\\\\}
]
\\\\}_
Team Konfiguration
Geteilte Konfiguration
json
// .continue/config.json (in project root)
\\\\{
"models": [
\\\\{
"title": "Team GPT-4",
"provider": "openai",
"model": "gpt-4",
"apiKey": "$\\\\{OPENAI_API_KEY\\\\}"
\\\\}
],
"slashCommands": [
\\\\{
"name": "review",
"description": "Code review following team standards",
"prompt": "Review this code according to our team's coding standards: $\\\\{TEAM_STANDARDS\\\\}"
\\\\}
]
\\\\}_
Umweltvariablen
```bash
.env file
OPENAI_API_KEY=sk-... ANTHROPIC_API_KEY=sk-ant-... TEAM_STANDARDS="Use TypeScript, follow ESLint rules, include unit tests"
Use in config
\\{ "apiKey": "$\\{OPENAI_API_KEY\\}" \\} ```_
Leistungsoptimierung
Caching Konfiguration
json
\\\\{
"embeddingsProvider": \\\\{
"provider": "openai",
"model": "text-embedding-ada-002",
"apiKey": "your-key"
\\\\},
"reranker": \\\\{
"name": "cohere",
"params": \\\\{
"apiKey": "your-cohere-key",
"model": "rerank-english-v2.0"
\\\\}
\\\\}
\\\\}_
Lokale Einbettungen
json
\\\\{
"embeddingsProvider": \\\\{
"provider": "ollama",
"model": "nomic-embed-text",
"apiBase": "http://localhost:11434"
\\\\}
\\\\}_
Fehlerbehebung
Gemeinsame Themen
```bash
Extension not loading
1. Check VS Code/JetBrains version compatibility
2. Restart IDE
3. Reinstall extension
4. Check Continue logs
API key issues
1. Verify API key format
2. Check API key permissions
3. Test API key with curl
4. Check rate limits
Model not responding
1. Check internet connection
2. Verify model name
3. Check API endpoint
4. Review request options
```_
Debug Mode
json
\\\\{
"allowAnonymousTelemetry": false,
"logLevel": "debug"
\\\\}_
Analyse der Ergebnisse
```bash
VS Code logs location
# Windows: %APPDATA%\Code\logs\
macOS: ~/Library/Logs/Code/
Linux: ~/.config/Code/logs/
JetBrains logs
Check IDE logs directory
Help > Show Log in Explorer/Finder
```_
Best Practices
Effektive Vermutung
```javascript // ❌ Vague request "Fix this code"
// ✅ Specific request "Optimize this function for better performance and add error handling for edge cases"
// ❌ No context "Create a component"
// ✅ With context "Create a React component for displaying user profiles with TypeScript interfaces and proper prop validation" ```_
Kontextmanagement
```bash
Use relevant context providers
@codebase "similar authentication patterns" @file:src/types/user.ts
Be specific about requirements
"Using the User interface from @file:src/types/user.ts, create a validation function" ```_
Modellauswahl
```bash
Use appropriate models for tasks
- GPT-4: Complex reasoning, architecture decisions
- Claude: Long context, detailed explanations
- Local models: Privacy, offline work
- Specialized models: Domain-specific tasks
```_
Ressourcen
- [Continue.dev Website](LINK_7__ -%20[GitHub%20Repository](LINK_7__ -%20[Dokumentation](_LINK_7 -%20[VS%20Code%20Extension](__LINK_7___ -%20JetBrains%20Plugin
- [Discord Community](_LINK_7___ -%20Konfigurationsbeispiele