A powerful VS Code extension that leverages GitHub Copilot as an AI brain to provide expert-level cloud architecture guidance with 10+ years of expertise in AWS, Azure, and GCP.
- Multi-Cloud Architecture Design - AWS, Azure, and GCP support
- Intelligent Diagram Generation
- Mermaid diagrams for architecture flows
- Draw.io integration for detailed diagrams
- User access flow visualization
- Terraform Code Generation - IaC templates for all major cloud providers
- Copilot-Powered Analysis - AI-driven recommendations for optimization and security
- Architecture Templates - Pre-built patterns for common scenarios
- Security Analysis - Identify vulnerabilities and compliance issues
- Cost Optimization - Recommendations for reducing cloud spend
- Multi-Cloud Support - Design architectures across AWS, Azure, and GCP
- Interactive Diagram Editor - Visual architecture design with Mermaid and Draw.io
- Clone this repository
- Run
npm installto install dependencies - Run
npm run compileto build the extension - Press
F5to launch the extension in debug mode
- Press
Ctrl+Shift+Pto open the command palette - Type "Megha" to see available commands:
- Start Cloud Architecture Session - Initialize a new project session
- Generate Architecture Diagram - Create architecture visualizations
- Generate User Access Flow - Design access control flows
- Generate Terraform Configuration - Generate IaC code
- Generate Mermaid Diagram - Create custom diagrams
- Open Diagram Editor - Interactive editing environment
1. Create a new workspace folder
2. Run "Megha: Start Cloud Architecture Session"
3. Describe your requirements:
"Multi-tier web application with database on AWS,
Azure compliance requirements, GCP disaster recovery"
4. Get instant architecture diagrams and recommendations
5. Generate Terraform code with one command
6. Review security and cost optimization suggestions
- Multi-cloud topology with VPCs, subnets, and services
- Load balancing and failover configuration
- CDN and caching strategy
- User roles and permissions
- Service-to-service communication
- API authentication flows
- Complete IaC for AWS, Azure, or GCP
- Module-based architecture
- Security best practices built-in
- Output variables for integration
- EC2, RDS, S3, CloudFront
- Lambda, API Gateway, SNS/SQS
- VPC, Security Groups, IAM
- CloudWatch, CloudTrail
- Virtual Machines, App Service
- Azure SQL, Cosmos DB
- Virtual Networks, NSGs
- Azure Monitor, Key Vault
- Compute Engine, Cloud Run
- Cloud SQL, BigQuery
- VPC Networks, Cloud Armor
- Cloud Monitoring, Cloud Logging
Megha Agent leverages GitHub Copilot Chat for:
- Architecture Analysis - Understand requirements and recommend patterns
- Code Review - Security and best practices checking
- Optimization - Cost and performance recommendations
- Problem Solving - Troubleshooting and debugging assistance
Requires: GitHub Copilot Chat extension
Pre-built modules for:
- AWS: VPC, EC2, RDS, Load Balancing, Security
- Azure: Resource Groups, VMs, Databases, Networking
- GCP: Compute, Cloud SQL, Storage, Networking
- Multi-Cloud: Orchestrated deployments across clouds
module "aws_infrastructure" {
source = "./modules/aws"
project_name = "my-project"
region = "us-east-1"
environment = "production"
}
module "azure_infrastructure" {
source = "./modules/azure"
project_name = "my-project"
location = "East US"
environment = "compliance"
}
module "gcp_infrastructure" {
source = "./modules/gcp"
project_name = "my-project"
project_id = "my-gcp-project"
region = "us-central1"
environment = "disaster-recovery"
}Create a .megha/config.json in your workspace:
{
"defaultCloud": "aws",
"enableMultiCloud": true,
"diagramFormat": "mermaid",
"terraformVersion": "1.5",
"includeBestPractices": true,
"securityLevel": "high",
"costOptimization": "aggressive"
}Megha Agent comes with templates for:
- Web Applications (Django, Node.js, .NET)
- Microservices (Kubernetes-ready)
- Serverless (Lambda, Cloud Functions)
- Big Data (Data Lakes, Analytics)
- ML/AI (Model Training and Inference)
- IoT (Edge Computing)
- Architecture Patterns
- Security Best Practices
- Cost Optimization Guide
- Terraform Module Reference
- API Reference
- Copilot chat is encrypted end-to-end
- Terraform state should be stored in encrypted backends
- Sensitive variables never stored in diagrams
- IAM policies follow least privilege principle
- All generated code includes security headers
Generated configurations include cost estimates:
Multi-Cloud Setup (Monthly)
- AWS Primary: $2,500-$5,000
- Azure Compliance: $1,000-$2,000
- GCP DR: $800-$1,500
- Total: $4,300-$8,500
Estimates vary based on: region, instance types, data transfer, storage
Contributions welcome! Areas of interest:
- Additional cloud providers (Oracle, IBM, Alibaba)
- More diagram types (C4 models, deployment diagrams)
- Enhanced Copilot prompts
- More Terraform modules
- Documentation improvements
MIT License - See LICENSE for details
- Ensure GitHub Copilot Chat extension is installed
- Check your GitHub Copilot subscription
- Try reloading the VS Code window
- Check internet connection for Mermaid CDN
- Try exporting as PNG/SVG
- Review browser console for errors
- Run
terraform validatein terminal for details - Check variable values in
terraform.tfvars - Review module documentation
- Issues: Open an issue on GitHub
- Discussions: Use GitHub Discussions
- Copilot Help: Ask Copilot Chat directly in VS Code
- Custom prompt templates
- Integration with Terraform Cloud
- Cost estimation with actual pricing APIs
- Multi-user collaboration features
- CI/CD pipeline generation
- Advanced security scanning
- Performance testing templates
- Kubernetes manifests generation
Megha Agent: Your AI-powered cloud architect, powered by GitHub Copilot 🚀 Megha-agent A cloud agent which uses github copilote as agent.