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Overview

This guide showcases advanced automation scenarios using NikCLI’s powerful agent orchestration capabilities. These examples demonstrate how to handle complex, multi-step development tasks with minimal human intervention.

Full-Stack Applications

Complete application development from concept to deployment

Legacy Modernization

Automated migration and modernization of existing systems

DevOps Automation

Infrastructure setup, CI/CD, and deployment automation

Quality Assurance

Automated testing, security audits, and code quality improvements

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Full-Stack Application Development

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E-Commerce Platform Creation

# Comprehensive e-commerce platform development
/auto "Create a complete e-commerce platform with the following requirements:

Frontend:
- Next.js 14 with TypeScript and App Router
- Tailwind CSS for styling with dark mode support
- Product catalog with search and filtering
- Shopping cart and checkout process
- User authentication and profile management
- Order history and tracking
- Responsive design for mobile and desktop

Backend:
- Node.js with Express and TypeScript
- PostgreSQL database with Prisma ORM
- JWT-based authentication with refresh tokens
- RESTful API with OpenAPI documentation
- Payment processing with Stripe integration
- Email notifications with SendGrid
- Image upload with AWS S3 integration
- Rate limiting and security middleware

Database:
- User management (auth, profiles, preferences)
- Product catalog (categories, inventory, pricing)
- Order management (cart, orders, payments)
- Review and rating system
- Admin panel data structures

DevOps:
- Docker containers for all services
- Docker Compose for local development
- GitHub Actions CI/CD pipeline
- Automated testing (unit, integration, e2e)
- Environment-specific configurations
- Health checks and monitoring
- Deployment to AWS ECS with RDS

Quality & Security:
- Comprehensive test coverage (80%+)
- Security best practices implementation
- Performance optimization
- Accessibility compliance (WCAG 2.1 AA)
- SEO optimization
- Error handling and logging

Please create this step-by-step with proper project structure, documentation, and deployment instructions."
Expected Workflow:
  1. Project Planning (Universal Agent): Architecture design, tech stack selection
  2. Database Design (Backend Agent): Schema creation, relationships, migrations
  3. Backend Development (Backend Agent): API endpoints, authentication, business logic
  4. Frontend Development (React Expert): UI components, state management, integration
  5. Integration (Universal Agent): Frontend-backend integration, testing
  6. Security Review (Security Expert): Security audit, vulnerability assessment
  7. Performance Optimization (Performance Expert): Speed optimization, caching
  8. Testing Implementation (Testing Expert): Test suite creation, coverage analysis
  9. DevOps Setup (DevOps Agent): Containerization, CI/CD, deployment
  10. Documentation (Universal Agent): README, API docs, deployment guide

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SaaS Application Development

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Legacy System Modernization

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Enterprise Application Migration

# Automated legacy monolith modernization
/auto "Modernize a legacy PHP monolith application to microservices architecture:

Current State Analysis:
- Large PHP application with mixed MVC patterns
- MySQL database with complex relationships  
- jQuery-based frontend with server-side rendering
- Tightly coupled business logic
- No automated testing
- Manual deployment process
- Performance and scaling issues

Modernization Goals:
- Break down into logical microservices
- Implement event-driven architecture
- Modern frontend with React/TypeScript
- Automated CI/CD pipelines
- Comprehensive testing strategy
- Container-based deployment
- Observability and monitoring

Migration Strategy:
1. Code Analysis and Service Boundaries:
   - Analyze existing codebase for service boundaries
   - Identify data dependencies and relationships
   - Create migration roadmap with phases
   - Risk assessment and mitigation strategies

2. Database Migration:
   - Design new database schema per service
   - Create data migration scripts
   - Implement gradual data migration strategy
   - Ensure data consistency during transition

3. Service Implementation:
   - User Management Service (Node.js + TypeScript)
   - Product Catalog Service (Python + FastAPI)
   - Order Management Service (Java + Spring Boot)
   - Payment Processing Service (Node.js + TypeScript)
   - Notification Service (Go)

4. Frontend Modernization:
   - React application with TypeScript
   - Micro-frontend architecture
   - Component library and design system
   - Modern state management
   - Progressive migration strategy

5. Integration Layer:
   - API Gateway with Kong or AWS API Gateway
   - Event streaming with Apache Kafka
   - Service mesh with Istio
   - Circuit breakers and resilience patterns

6. DevOps Transformation:
   - Kubernetes deployment
   - GitOps with ArgoCD
   - Comprehensive monitoring with Prometheus/Grafana
   - Distributed tracing with Jaeger
   - Automated testing and quality gates

Create detailed migration plan, implementation timeline, and rollback procedures."

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Database Modernization

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DevOps and Infrastructure Automation

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Complete CI/CD Pipeline Setup

# Advanced CI/CD pipeline with multiple environments and complex workflows
/auto "Create a comprehensive CI/CD pipeline for a microservices application:

Application Architecture:
- 8 microservices (Node.js, Python, Go, Java)
- React frontend application
- PostgreSQL and Redis databases
- Message queues with RabbitMQ
- File storage with AWS S3
- CDN with CloudFront

Environment Strategy:
- Development: Automated deployment on feature branch push
- Staging: Deployment on main branch merge with approval
- Pre-production: Blue-green deployment for final testing
- Production: Canary deployment with automated rollback

CI/CD Requirements:
1. Continuous Integration:
   - Multi-language build support
   - Parallel testing across services
   - Code quality gates (SonarQube, ESLint, Pylint)
   - Security scanning (Snyk, OWASP dependency check)
   - Container image building and scanning
   - Automated semantic versioning

2. Deployment Automation:
   - Infrastructure as Code with Terraform
   - Kubernetes manifests with Helm charts
   - Database migration automation
   - Environment-specific configuration management
   - Service mesh configuration (Istio)
   - Monitoring and alerting setup

3. Quality Assurance:
   - Unit test execution and coverage reporting
   - Integration testing with test databases
   - End-to-end testing with Cypress
   - Performance testing with k6
   - Security testing with automated tools
   - Smoke tests in production

4. Observability:
   - Distributed tracing with Jaeger
   - Metrics collection with Prometheus
   - Log aggregation with ELK stack
   - Application performance monitoring
   - Business metrics tracking
   - Alert management with PagerDuty

5. Deployment Strategies:
   - Blue-green deployment for critical services
   - Canary deployment with traffic splitting
   - Feature flags for controlled rollouts
   - Automated rollback on failure detection
   - Zero-downtime deployment procedures

Implementation Platform:
- GitHub Actions for CI/CD orchestration
- AWS EKS for Kubernetes hosting
- AWS RDS for managed databases
- AWS ElastiCache for Redis
- Terraform for infrastructure management
- HashiCorp Vault for secrets management

Include detailed pipeline configurations, monitoring setup, and incident response procedures."

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Container Orchestration

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Quality Assurance Automation

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Comprehensive Testing Strategy

# Automated comprehensive testing strategy
/auto "Implement comprehensive automated testing strategy for complex web application:

Application Under Test:
- Multi-tenant SaaS application
- React frontend with complex user interactions
- Node.js backend with multiple APIs
- PostgreSQL database with complex relationships
- Third-party integrations (Stripe, SendGrid, AWS)
- Real-time features with WebSocket

Testing Strategy:
1. Unit Testing:
   - Frontend: React components with Testing Library
   - Backend: API functions with Jest and Supertest
   - Database: Repository layer with test containers
   - Utilities: Pure functions with comprehensive coverage
   - Target: 90% code coverage with meaningful tests

2. Integration Testing:
   - API integration tests with test database
   - Third-party service mocking and contract testing
   - Database integration with real PostgreSQL instance
   - WebSocket connection and message testing
   - Cross-service communication testing

3. End-to-End Testing:
   - Critical user journeys with Playwright
   - Cross-browser testing (Chrome, Firefox, Safari)
   - Mobile responsive testing
   - Performance testing under load
   - Visual regression testing with screenshots

4. Performance Testing:
   - Load testing with k6 or Artillery
   - Database performance under high load
   - API response time benchmarking
   - Memory leak detection
   - Scalability testing with auto-scaling

5. Security Testing:
   - OWASP ZAP automated security scanning
   - SQL injection and XSS vulnerability testing
   - Authentication and authorization testing
   - Data privacy and GDPR compliance testing
   - Dependency vulnerability scanning

6. Accessibility Testing:
   - Automated accessibility testing with axe-core
   - Screen reader compatibility testing
   - Keyboard navigation testing
   - Color contrast and WCAG compliance
   - User experience testing for disabilities

Test Infrastructure:
- Containerized test environments
- Test data management and seeding
- Parallel test execution
- Test result reporting and visualization
- Automated test maintenance and updates

CI/CD Integration:
- Pre-commit hooks for quick feedback
- Pull request testing automation
- Staging environment testing
- Production smoke tests
- Automated rollback on test failures

Include test documentation, maintenance procedures, and performance benchmarks."

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Performance and Optimization Automation

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Application Performance Optimization

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Best Practices and Tips

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Automation Strategy

Incremental Approach

Start with simple automation and gradually increase complexity
# Start simple
/auto "Create basic React component"

# Then increase complexity
/auto "Create React component with state management, testing, and documentation"

Context Management

Provide comprehensive context for better automation results
# Set project context
/context set "src/" --include-patterns "*.tsx,*.ts,*.json"

# Include relevant documentation
/read README.md
/read docs/architecture.md

Quality Gates

Implement quality checkpoints in automation workflows
# Use orchestration with quality gates
/orchestrate quality-gates "feature-development" --gates "
  security-review: required
  performance-test: required
  accessibility-check: required
"

Monitoring and Feedback

Monitor automation results and provide feedback for improvement
# Monitor workflow performance
/workflow analytics --performance --success-rate

# Provide agent feedback
/agent-learning feedback universal-agent --rating 5 --improvements "excellent automation"

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Common Patterns

# Start with MVP, then enhance
/auto "Create MVP version of the application with core features only"
# Wait for completion, review results
/auto "Enhance the MVP with advanced features, optimization, and polish"

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Next Steps

Real-World Scenarios

See how NikCLI is used in real production environments

Integration Examples

Learn how to integrate NikCLI with existing tools and workflows

Agent Orchestration

Master advanced agent coordination techniques

Performance Optimization

Optimize automation performance for large-scale projects
Advanced automation works best when you start with clear requirements and break complex tasks into manageable phases. Use the orchestration system to coordinate multiple agents and always include quality gates and review processes.