Pythagora Cheat Sheet
Überblick
Pythagora ist die weltweit erste All-in-one-KI-Entwicklungsplattform, die von 14 spezialisierten Agenten betrieben wird, die alles von der Planung und Codierung bis zum Testen, Debugging und Einsatz erledigen. Pythagora basiert auf der GPT-Pilot-Technologie und konzentriert sich auf die Erstellung von produktionsfähigen Anwendungen mit unternehmenseigener Infrastruktur und umfangreichen Tests.
ZEIT *Anmerkung: Derzeit in Beta, erfordert Warteliste Anmeldung für vollen Zugriff
Installation
VS Code Erweiterung
```bash
Install from VS Code Marketplace
Search for "Pythagora" in Extensions
Or install via command line
code --install-extension PythagoraTechnologies.pythagora-vs-code
Verify installation
Check Extensions panel for Pythagora
```_
Web-Plattform
```bash
Access via browser
Visit: https://www.pythagora.ai
Sign up for beta access
Complete onboarding process
Choose development preferences
```_
GPT-Pilot (Core Technology)
```bash
Install GPT-Pilot locally
git clone https://github.com/Pythagora-io/gpt-pilot.git cd gpt-pilot
Install dependencies
pip install -r requirements.txt
Set up environment variables
export OPENAI_API_KEY="your-openai-key" export PYTHAGORA_API_KEY="your-pythagora-key"
Run GPT-Pilot
python main.py ```_
Erster Setup
Authentication
```bash
VS Code Extension
1. Install extension
2. Sign in with Pythagora account
3. Authenticate with API key
4. Configure model preferences
Web Platform
1. Create account at pythagora.ai
2. Verify email address
3. Complete developer profile
4. Set up billing (if required)
```_
Konfiguration
```bash
Configure AI models
Primary model: GPT-4 (recommended)
Fallback model: GPT-3.5-turbo
Specialized models for specific tasks
Set development preferences
- Programming languages
- Framework preferences
- Testing requirements
- Deployment targets
```_
Kernmerkmale
14 Spezialisierte KI-Agenten
```bash
Planning Agent
- Requirements analysis
- Architecture design
- Task breakdown
- Timeline estimation
Coding Agents (multiple)
- Frontend development
- Backend development
- Database design
- API development
Testing Agent
- Unit test generation
- Integration testing
- End-to-end testing
- Performance testing
Debugging Agent
- Error detection
- Bug fixing
- Performance optimization
- Code review
Deployment Agent
- Infrastructure setup
- CI/CD pipeline
- Production deployment
- Monitoring configuration
```_
Interaktive Entwicklung
```bash
Start new project
"Create a task management application with user authentication, project organization, and team collaboration features"
Iterative development
"Add real-time notifications when tasks are assigned or completed"
Feature modification
"Change the task priority system from numbers to color-coded labels"
Bug reporting
"The user dashboard is not loading properly on mobile devices" ```_
Entwicklungs-Workflow
Projekt Initialisierung
```bash
Web Platform
1. Click "New Project"
2. Describe your application
3. Specify requirements
4. Choose technology stack
5. Set deployment preferences
VS Code Extension
1. Open new folder
2. Activate Pythagora
3. Describe project requirements
4. Review generated plan
5. Approve development start
```_
Autonomer Entwicklungsprozess
```bash
Phase 1: Planning
- Requirements analysis
- Architecture design
- Technology selection
- Development roadmap
Phase 2: Implementation
- Code generation
- Component development
- API implementation
- Database setup
Phase 3: Testing
- Unit test creation
- Integration testing
- Bug identification
- Performance testing
Phase 4: Deployment
- Infrastructure setup
- Production deployment
- Monitoring configuration
- Documentation generation
```_
Human-AI Zusammenarbeit
```bash
Review checkpoints
Pythagora pauses for human review at:
- Architecture decisions
- Major feature implementations
- Before deployment
- After testing phases
Feedback integration
"The user interface needs to be more modern and mobile-friendly" "Add data validation for all form inputs" "Implement caching for better performance" "Change the color scheme to match our brand guidelines" ```_
Erweiterte Funktionen
Produktions-Lesen Infrastruktur
```bash
AWS Integration
- EC2 instances
- RDS databases
- S3 storage
- CloudFront CDN
- Load balancers
- Auto-scaling groups
Infrastructure as Code
- Terraform configurations
- CloudFormation templates
- Kubernetes manifests
- Docker containers
- CI/CD pipelines
```_
Umfassende Prüfung
```bash
Automated test generation
- Unit tests for all functions
- Integration tests for APIs
- End-to-end user workflows
- Performance benchmarks
- Security vulnerability scans
Test execution
- Continuous testing
- Regression testing
- Load testing
- Cross-browser testing
- Mobile device testing
```_
Debugging und Optimierung
```bash
Automatic debugging
- Error detection and fixing
- Performance bottleneck identification
- Memory leak detection
- Security vulnerability patching
- Code optimization suggestions
Manual debugging support
"The application crashes when uploading large files" "Database queries are running slowly on the reports page" "Users are experiencing timeout errors during peak hours" ```_
Technologie-Stack-Unterstützung
Frontend Technologies
```bash
Supported frameworks:
- React with TypeScript
- Vue.js with Composition API
- Angular with TypeScript
- Svelte/SvelteKit
- Next.js for full-stack
Styling solutions:
- Tailwind CSS
- Material-UI
- Chakra UI
- Styled Components
- CSS Modules
```_
Backend Technologies
```bash
Supported frameworks:
- Node.js with Express
- Python with Django/Flask
- PHP with Laravel
- Ruby on Rails
- Java with Spring Boot
Database support:
- PostgreSQL
- MySQL
- MongoDB
- Redis
- Elasticsearch
```_
DevOps und Bereitstellung
```bash
Cloud platforms:
- AWS (primary)
- Google Cloud Platform
- Microsoft Azure
- DigitalOcean
- Heroku
Containerization:
- Docker
- Kubernetes
- Docker Compose
- Container registries
- Orchestration tools
```_
Projektleitung
Entwicklung Tracking
```bash
Progress monitoring
- Real-time development status
- Completed features list
- Remaining tasks
- Time estimates
- Resource usage
Milestone tracking
- Feature completion
- Testing phases
- Deployment readiness
- Performance benchmarks
- Quality metrics
```_
Versionskontrolle
```bash
Git integration
- Automatic commits
- Branch management
- Pull request creation
- Code review process
- Merge conflict resolution
GitHub integration
- Repository creation
- Issue tracking
- Project boards
- Actions/workflows
- Documentation updates
```_
Dokumentation Generation
```bash
Automatic documentation
- API documentation
- Code comments
- Architecture diagrams
- Deployment guides
- User manuals
Custom documentation
"Generate comprehensive API documentation with examples" "Create user guide for the admin dashboard" "Document the deployment process for the development team" ```_
Funktionen der Zusammenarbeit
Teamentwicklung
```bash
Multi-developer support
- Shared project access
- Role-based permissions
- Collaborative editing
- Change tracking
- Communication tools
Code review process
- Automated code review
- Human review integration
- Approval workflows
- Quality gates
- Merge requirements
```_
Kundeninteraktion
```bash
Progress sharing
- Live demo environments
- Progress reports
- Feature showcases
- Feedback collection
- Approval workflows
Stakeholder communication
"Generate a progress report for the client meeting" "Create a demo environment for user testing" "Prepare presentation materials for the project review" ```_
Unternehmensmerkmale
Sicherheit und Compliance
```bash
Security measures
- Code vulnerability scanning
- Dependency security checks
- Authentication implementation
- Authorization controls
- Data encryption
Compliance support
- GDPR compliance
- SOC 2 requirements
- HIPAA considerations
- PCI DSS standards
- Industry-specific regulations
```_
Skalierbarkeit und Leistung
```bash
Performance optimization
- Database query optimization
- Caching strategies
- CDN implementation
- Load balancing
- Auto-scaling configuration
Monitoring and alerting
- Application monitoring
- Performance metrics
- Error tracking
- Uptime monitoring
- Custom alerts
```_
Datenverwaltung
```bash
Database management
- Schema design
- Migration scripts
- Backup strategies
- Data archiving
- Performance tuning
Data privacy
- Personal data handling
- Data retention policies
- Access controls
- Audit logging
- Compliance reporting
```_
Fehlerbehebung
Gemeinsame Themen
```bash
Development problems
"The AI agent stopped responding during code generation"
Solution: Restart the development session and provide more specific requirements
Build failures
"The application won't compile after the latest changes"
Solution: Pythagora will analyze build errors and implement fixes automatically
Performance issues
"The application is running slowly in production"
Solution: Performance analysis and optimization recommendations
Deployment problems
"The deployment to AWS failed with configuration errors"
Solution: Infrastructure debugging and configuration fixes
```_
Debug Mode
```bash
Enable detailed logging
- Agent decision tracking
- Code generation steps
- Testing results
- Deployment logs
- Error diagnostics
Manual intervention
- Pause autonomous development
- Review generated code
- Modify requirements
- Override agent decisions
- Resume development
```_
Unterstützung und Ressourcen
```bash
Getting help
- In-app support chat
- Documentation portal
- Community forums
- Video tutorials
- Best practices guides
Escalation process
- Technical support tickets
- Bug reports
- Feature requests
- Enterprise support
- Custom development
```_
Preise und Pläne
Beta-Zugang
```bash
Current status: Limited beta
- Waitlist signup required
- Free during beta period
- Limited concurrent projects
- Community support
- Basic features access
```_
Future Pricing (geschätzt)
```bash
Individual Plan
- Personal projects
- Limited AI agent hours
- Basic deployment options
- Community support
- Standard features
Professional Plan
- Commercial projects
- Extended AI agent hours
- Advanced deployment options
- Priority support
- Advanced features
Enterprise Plan
- Unlimited projects
- Dedicated AI agents
- Custom deployment options
- Dedicated support
- Enterprise features
```_
Best Practices
Effektive Anforderungen
```bash
❌ Vague requirements
"Build a web application"
✅ Specific requirements
"Build a project management web application with user authentication, project creation, task assignment, team collaboration, and progress tracking"
❌ Too complex initially
"Build a complete ERP system with all modules"
✅ Incremental approach
"Start with a basic inventory management system, then add purchasing and sales modules" ```_
Qualitätssicherung
```bash
Regular review points
- Architecture review after planning
- Code review during development
- Testing review before deployment
- Performance review after launch
Feedback integration
- Provide specific feedback
- Test thoroughly at each stage
- Validate business requirements
- Monitor production performance
```_
Projektleitung
```bash
Clear communication
- Define success criteria
- Set realistic timelines
- Establish review schedules
- Maintain documentation
- Track progress regularly
Risk management
- Identify potential issues early
- Plan for scalability needs
- Consider security requirements
- Prepare deployment strategies
- Monitor resource usage
```_
Integrationsbeispiele
E-Commerce-Plattform
```bash
Requirements
"Create an e-commerce platform with product catalog, shopping cart, payment processing, order management, and admin dashboard"
Pythagora will generate:
- React frontend with product browsing
- Node.js backend with APIs
- PostgreSQL database schema
- Stripe payment integration
- AWS deployment configuration
- Comprehensive test suite
```_
SaaS Anwendung
```bash
Requirements
"Build a SaaS project management tool with multi-tenant architecture, subscription billing, team collaboration, and analytics dashboard"
Pythagora will create:
- Multi-tenant database design
- Subscription management system
- Role-based access control
- Real-time collaboration features
- Analytics and reporting
- Scalable cloud infrastructure
```_
Internes Business Tool
```bash
Requirements
"Develop an internal HR management system with employee records, leave management, performance tracking, and reporting"
Pythagora will build:
- Secure employee database
- Leave request workflows
- Performance evaluation system
- Automated reporting
- Role-based permissions
- Integration with existing systems
```_
Ressourcen
- [Pythagora Website](_LINK_8___ -%20GPT-Pilot%20GitHub
- [VS Code Extension](LINK_8___ -%20[Dokumentation](LINK_8 -%20[Gemeinschaftsforum](__LINK_8 -%20[Blog%20und%20Fallstudien](_LINK_8_ -%20Y%20Combinator%20Profile
- [Beta Signup](_LINK_8___