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Enterprise-grade development toolkit for AI Engineers, Blockchain Developers, and Full-stack Engineers

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Readme

GalyarderOS Development Suite

Enterprise-grade development toolkit for AI Engineers, Blockchain Developers, and Full-stack Engineers

npm version License: MIT Node.js Version

What is GalyarderOS Development Suite?

The GalyarderOS Development Suite is a comprehensive, enterprise-grade command-line toolkit designed for elite developers working across multiple cutting-edge domains:

  • AI Engineering & Machine Learning
  • Blockchain Development
  • Full-stack Web Development
  • DevOps & Infrastructure

Quick Start

Global Installation

# Install globally via NPM
npm install -g @galyarder/dev-suite

# Or using Yarn
yarn global add @galyarder/dev-suite

# Or using pnpm
pnpm add -g @galyarder/dev-suite

Usage

# Launch the development suite
dev-suite

# Or use shortcuts
galyarder
gds

Features

AI Engineering & Machine Learning

  • Data Science & Analytics: Complete project scaffolding with best practices
  • ML Engineering: Advanced training pipelines with MLOps integration
  • Computer Vision: Pre-configured OpenCV, PyTorch Vision setups
  • Natural Language Processing: Hugging Face Transformers, custom model templates
  • MLOps: MLflow, Weights & Biases integration
  • AutoML: Optuna hyperparameter optimization
  • Distributed Training: Multi-GPU, distributed setups
  • Model Serving: FastAPI, TensorFlow Serving templates

Blockchain Development

  • DeFi Protocols: DEX, Lending, Yield Farming templates
  • NFT Development: ERC-721, ERC-1155 with metadata handling
  • Cross-Chain: Polygon, BSC, Avalanche deployment configs
  • Security Auditing: Automated vulnerability scanning
  • Gas Optimization: Advanced Solidity optimization techniques
  • Testing Frameworks: Hardhat, Foundry, comprehensive test suites
  • Analytics: On-chain analytics and monitoring
  • Mainnet Deployment: Production-ready deployment strategies

Full-stack Web Development

  • Microservices: Complete architecture with Docker & Kubernetes
  • API Gateway: Kong, NGINX, rate limiting, authentication
  • Authentication Systems: JWT, OAuth2, multi-factor authentication
  • Real-time Analytics: WebSocket, Server-Sent Events
  • Event-Driven Architecture: Apache Kafka, RabbitMQ integration
  • GraphQL: Federation, subscriptions, caching
  • Progressive Web Apps: PWA with offline capabilities
  • Testing: Unit, integration, e2e testing frameworks

DevOps & Infrastructure

  • Kubernetes: Production-ready manifests, Helm charts
  • Terraform: Multi-cloud infrastructure as code
  • CI/CD: GitHub Actions, GitLab CI, Jenkins pipelines
  • Monitoring: Prometheus, Grafana, ELK stack
  • Security: Vulnerability scanning, compliance checks
  • Performance: Load testing, performance monitoring
  • Multi-Cloud: AWS, GCP, Azure deployment strategies

System Requirements

  • Node.js: >= 16.0.0
  • Operating Systems: Linux, macOS, Windows (WSL2 recommended)
  • Memory: Minimum 4GB RAM (8GB+ recommended for AI workloads)
  • Storage: 2GB free space for templates and dependencies

Prerequisites Detection

The suite automatically detects your system capabilities:

  • Programming Languages: Node.js, Python, Rust, Go, Java
  • Package Managers: npm, yarn, pnpm, pip, cargo
  • DevOps Tools: Docker, kubectl, Terraform, Ansible
  • Cloud CLIs: AWS CLI, gcloud, Azure CLI
  • Blockchain Tools: Hardhat, Truffle, Foundry, Solidity, Anchor
  • AI/ML Libraries: TensorFlow, PyTorch, Transformers, Jupyter

Interactive Menus

GalyarderOS Professional Development Suite
==========================================
AI Engineering | Blockchain Development | Full-stack Web | DevOps

Choose your specialization:

1. AI Engineering & Machine Learning
2. Blockchain Development  
3. Full-stack Web Development
4. DevOps & Infrastructure

AI Engineering Submenu

AI Engineering & Machine Learning
=================================
1. Data Science & Analytics
2. Machine Learning Engineering
3. Computer Vision
4. Natural Language Processing
5. MLOps & Model Deployment
6. AutoML & Experiment Tracking
7. Distributed Training
8. Model Monitoring & Serving

Project Templates

AI/ML Data Science Project Structure

project-name/
├── data/
│   ├── raw/              # Original data
│   ├── processed/        # Cleaned data  
│   ├── external/         # Third-party data
│   └── interim/          # Intermediate data
├── notebooks/
│   ├── exploratory/      # EDA notebooks
│   ├── reports/          # Final reports
│   └── prototypes/       # Model prototypes
├── src/
│   ├── data/            # Data processing
│   ├── features/        # Feature engineering
│   ├── models/          # Model training
│   └── visualization/   # Plotting utilities
├── models/              # Trained models
├── reports/             # Generated reports
├── configs/             # Configuration files
├── tests/               # Test suites
└── docker/              # Docker configs

Blockchain DeFi Protocol Structure

defi-protocol/
├── contracts/
│   ├── core/            # Core protocol contracts
│   ├── periphery/       # Helper contracts
│   ├── libraries/       # Shared libraries
│   └── interfaces/      # Contract interfaces
├── scripts/
│   ├── deploy/          # Deployment scripts
│   ├── verify/          # Contract verification
│   └── setup/           # Initial setup
├── test/
│   ├── unit/            # Unit tests
│   ├── integration/     # Integration tests
│   └── fork/            # Fork testing
├── frontend/            # DApp frontend
├── security/            # Security audits
└── docs/                # Documentation

Advanced Features

Smart Contract Security Scanning

# Automatic vulnerability detection
dev-suite → Blockchain → Security Auditing
- Reentrancy attacks
- Integer overflow/underflow
- Access control issues  
- Gas optimization opportunities

ML Pipeline Automation

# Complete MLOps workflow
dev-suite → AI Engineering → MLOps
- Automated data validation
- Model training with experiment tracking
- Hyperparameter optimization
- Model deployment to production
- Performance monitoring

Microservices Generator

# Enterprise microservices architecture
dev-suite → Full-stack → Microservices
- Service mesh configuration
- API gateway setup
- Database per service
- Event-driven communication
- Monitoring and logging

Multi-Cloud Support

Deploy to any cloud provider:

  • AWS: ECS, EKS, Lambda, RDS
  • Google Cloud: GKE, Cloud Run, BigQuery
  • Azure: AKS, Container Instances, CosmosDB
  • Digital Ocean: Kubernetes, Droplets
  • Self-hosted: Docker Swarm, bare metal

Analytics & Monitoring

Built-in monitoring for:

  • Development Metrics: Code quality, build times
  • Deployment Success: CI/CD pipeline health
  • Resource Usage: CPU, memory, network
  • Business Metrics: User engagement, performance
  • Security Events: Vulnerability alerts, access logs

Contributing

We welcome contributions! Please see our Contributing Guide.

Development Setup

# Clone the repository
git clone https://github.com/galyarder/dev-suite.git
cd dev-suite

# Install dependencies
npm install

# Run in development mode
npm run dev

# Run tests
npm test

License

MIT License - see LICENSE file for details.

Support

Why Choose GalyarderOS Development Suite?

Enterprise-Grade: Production-ready templates and configurations
Multi-Domain: AI, Blockchain, Web, DevOps in one toolkit
Best Practices: Industry standards and security built-in
Rapid Prototyping: From idea to deployment in minutes
Scalable: From startup to enterprise scale
Open Source: MIT license, community-driven
Regular Updates: Monthly releases with new features

Get Started Today

npm install -g @galyarder/dev-suite
dev-suite

Transform your development workflow. Build the future. Ship faster.


Made by the GalyarderOS Team