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Pythagora Cheat Sheet ​

Overview ​

Pythagora is the world's first all-in-one AI development platform powered by 14 specialized agents that handle everything from planning and coding to testing, debugging, and deployment. Built on GPT-Pilot technology, Pythagora focuses on creating production-ready applications with enterprise-grade infrastructure and comprehensive testing.

⚠️ Note: Currently in beta, requires waitlist signup for full access

Installation ​

VS Code Extension ​

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 Platform ​

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

Initial 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)

Configuration ​

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

Core Features ​

14 Specialized AI Agents ​

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

Interactive Development ​

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"

Development Workflow ​

Project Initialization ​

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

Autonomous Development Process ​

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 Collaboration ​

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"

Advanced Features ​

Production-Ready Infrastructure ​

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

Comprehensive Testing ​

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 and Optimization ​

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"

Technology Stack Support ​

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 and Deployment ​

bash
# Cloud platforms:
# - AWS (primary)
# - Google Cloud Platform
# - Microsoft Azure
# - DigitalOcean
# - Heroku

# Containerization:
# - Docker
# - Kubernetes
# - Docker Compose
# - Container registries
# - Orchestration tools

Project Management ​

Development 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

Version Control ​

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

Documentation 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"

Collaboration Features ​

Team Development ​

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

Client Interaction ​

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"

Enterprise Features ​

Security and 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

Scalability and Performance ​

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

Data Management ​

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

Troubleshooting ​

Common Issues ​

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

Support and Resources ​

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

Pricing and Plans ​

Beta Access ​

bash
# Current status: Limited beta
# - Waitlist signup required
# - Free during beta period
# - Limited concurrent projects
# - Community support
# - Basic features access

Future Pricing (Estimated) ​

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 ​

Effective Requirements ​

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"

Quality Assurance ​

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

Project Management ​

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

Integration Examples ​

E-commerce Platform ​

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 Application ​

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

Internal 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

Resources ​