Workflow Overview
NikCLI supports various workflow patterns optimized for different development scenarios. These proven patterns help you maximize productivity while maintaining code quality and consistency.Feature Development
End-to-end feature implementation workflows
Maintenance & Refactoring
Code improvement and optimization patterns
Bug Fixing
Systematic debugging and issue resolution
Project Setup
New project initialization and configuration
Development Workflow Patterns
1. Feature Development Workflow
1
Requirements Analysis
Start with clear feature requirements and planning
> /plan create "User authentication with social login" π Feature Analysis: βββ Authentication methods (email, Google, GitHub) βββ User registration and login flows βββ Session management and security βββ Password reset functionality βββ User profile management Estimated complexity: Medium-High Implementation time: 3-4 hours2
Architecture Planning
Define technical architecture and approach
> Plan the technical implementation approach ποΈ Architecture Plan: Backend Components: βββ User model with Mongoose/Prisma βββ JWT authentication middleware βββ OAuth integration (Passport.js) βββ Email verification system βββ Password reset with secure tokens Frontend Components: βββ Authentication forms (login/register) βββ Social login buttons βββ Protected route wrapper βββ User profile management βββ Authentication context/store3
Implementation Phase
Execute the plan with coordinated development
> /auto "Implement the authentication system according to the plan" π€ Multi-agent execution: Backend Agent: βββ β
User model with validation βββ β
JWT middleware setup βββ π OAuth configuration βββ β³ Email service integration Frontend Agent: βββ β
Login/register forms βββ π Social login integration βββ β³ Authentication context Integration Agent: βββ π API endpoint testing βββ β³ E2E flow validation4
Testing & Validation
Comprehensive testing and quality assurance
> Add comprehensive tests for the authentication system π§ͺ Testing Implementation: Unit Tests: βββ User model validation βββ JWT token generation/verification βββ Password hashing functions βββ OAuth callback handling Integration Tests: βββ Login/logout flows βββ Registration with email verification βββ Password reset workflow βββ Social login integration E2E Tests: βββ Complete user journey βββ Cross-browser compatibility βββ Mobile responsiveness5
Documentation & Deployment
Finalize with documentation and deployment preparation
> Document the authentication system and prepare for deployment π Documentation: βββ API endpoint documentation βββ Frontend component usage βββ Configuration guide βββ Security considerations π Deployment Prep: βββ Environment variable setup βββ Database migration scripts βββ Security configuration βββ Monitoring setup2. Bug Fix Workflow
- Issue Investigation
- Solution Development
- Validation & Monitoring
Systematic approach to understanding the problem
> The user login is failing intermittently with 500 errors π Bug Investigation Process: 1. Reproduce the Issue: βββ Gather error logs and stack traces βββ Identify reproduction steps βββ Check environment differences βββ Document failure patterns 2. Root Cause Analysis: βββ Database connection analysis βββ Authentication middleware review βββ Rate limiting investigation βββ Concurrent request handling 3. Impact Assessment: βββ Affected user percentage βββ Business impact analysis βββ Temporary workaround options βββ Fix priority determination3. Refactoring Workflow
Code Quality Assessment
Code Quality Assessment
Analyze current state and identify improvement opportunities
> Analyze the codebase and suggest refactoring opportunities π Code Quality Analysis: Technical Debt Assessment: βββ Cyclomatic complexity analysis βββ Code duplication detection βββ Dependency analysis βββ Test coverage evaluation βββ Performance bottleneck identification Refactoring Opportunities: βββ Extract common components/utilities βββ Improve error handling patterns βββ Optimize database queries βββ Enhance type safety βββ Modernize legacy code patterns Priority Matrix: βββ High Impact, Low Effort: Quick wins βββ High Impact, High Effort: Major initiatives βββ Low Impact, Low Effort: Maintenance tasks βββ Low Impact, High Effort: Avoid unless necessaryIncremental Refactoring
Incremental Refactoring
Systematic approach to code improvement
> Refactor the user management system to improve maintainability π Incremental Refactoring Plan: Phase 1: Foundation (1-2 days) βββ Extract reusable validation functions βββ Standardize error handling βββ Improve type definitions βββ Add comprehensive tests Phase 2: Structure (2-3 days) βββ Separate concerns (controllers/services) βββ Implement repository pattern βββ Extract business logic βββ Optimize database operations Phase 3: Enhancement (1-2 days) βββ Add caching layer βββ Improve API design βββ Enhance security measures βββ Performance optimization Safety Measures: βββ Comprehensive test coverage before changes βββ Feature flags for gradual rollout βββ Database backup before migrations βββ Rollback plan preparationPerformance Optimization
Performance Optimization
Systematic performance improvement workflow
> Optimize application performance across frontend and backend β‘ Performance Optimization Workflow: 1. Baseline Measurement: βββ Load time analysis βββ Bundle size audit βββ Database query profiling βββ Memory usage monitoring βββ API response time tracking 2. Frontend Optimization: βββ Code splitting implementation βββ Image optimization and lazy loading βββ Component memoization βββ Bundle analysis and tree shaking βββ Service worker caching 3. Backend Optimization: βββ Database indexing and query optimization βββ Redis caching implementation βββ API response compression βββ Connection pooling optimization βββ Background job processing 4. Infrastructure Optimization: βββ CDN configuration βββ Load balancer setup βββ Database replication βββ Monitoring and alertingProject Setup Patterns
Full-Stack Application Setup
1
Project Initialization
Set up the project structure and tooling
> /auto "Create a new full-stack TypeScript application with React frontend and Node.js backend" ποΈ Project Structure Creation: βββ client/ (React TypeScript) β βββ src/ β β βββ components/ β β βββ pages/ β β βββ hooks/ β β βββ services/ β β βββ types/ β βββ public/ β βββ package.json β βββ server/ (Node.js TypeScript) β βββ src/ β β βββ routes/ β β βββ models/ β β βββ middleware/ β β βββ services/ β β βββ types/ β βββ package.json β βββ shared/ (Common types and utilities) βββ docker-compose.yml βββ README.md2
Development Environment
Configure development tools and workflows
> Set up development environment with TypeScript, ESLint, Prettier, and testing π¨ Development Configuration: Code Quality: βββ TypeScript strict configuration βββ ESLint with TypeScript rules βββ Prettier formatting βββ Husky pre-commit hooks βββ Lint-staged for optimized checks Testing Setup: βββ Vitest for unit testing βββ Testing Library for React components βββ Supertest for API testing βββ Playwright for E2E testing βββ Coverage reporting configuration Development Tools: βββ Hot reload for both client and server βββ Environment variable management βββ Database setup with Docker βββ API documentation with OpenAPI βββ Development scripts and aliases3
CI/CD Pipeline
Automated testing and deployment pipeline
> Set up CI/CD pipeline with GitHub Actions π CI/CD Configuration: Continuous Integration: βββ Automated testing on pull requests βββ Code quality checks (lint, format) βββ Type checking validation βββ Security vulnerability scanning βββ Build verification Continuous Deployment: βββ Staging environment deployment βββ Production deployment with approval βββ Database migration automation βββ Health check validation βββ Rollback capability Monitoring & Alerts: βββ Application performance monitoring βββ Error tracking and reporting βββ Uptime monitoring βββ Performance regression alerts βββ Security incident notificationsMicroservices Architecture
- Service Design
- Implementation Strategy
- DevOps Integration
Design microservices architecture
> Design a microservices architecture for an e-commerce platform ποΈ Microservices Design: Core Services: βββ User Service (authentication, profiles) βββ Product Service (catalog, inventory) βββ Order Service (cart, checkout, orders) βββ Payment Service (payment processing) βββ Notification Service (email, SMS, push) βββ Analytics Service (tracking, reporting) Infrastructure Services: βββ API Gateway (routing, authentication) βββ Service Discovery (Consul/Eureka) βββ Configuration Service (centralized config) βββ Logging Service (centralized logging) βββ Monitoring Service (metrics, health checks) Communication Patterns: βββ Synchronous: REST APIs for real-time operations βββ Asynchronous: Message queues for event processing βββ Event Sourcing: For audit trails and state reconstruction βββ CQRS: Separate read/write models for optimizationTeam Collaboration Patterns
Code Review Workflow
Pre-Review Preparation
Pre-Review Preparation
Prepare code for effective review
> Prepare my changes for code review π Pre-Review Checklist: Code Quality: βββ Self-review for obvious issues βββ Run all tests and ensure they pass βββ Verify linting and formatting compliance βββ Check for TODOs and incomplete features βββ Validate TypeScript compilation Documentation: βββ Update relevant documentation βββ Add or update code comments βββ Create/update API documentation βββ Update changelog if applicable βββ Ensure commit messages are descriptive Testing: βββ Add tests for new functionality βββ Update existing tests if needed βββ Verify test coverage meets requirements βββ Include integration/E2E tests where appropriate βββ Test edge cases and error scenariosReview Process
Review Process
Systematic code review approach
> Conduct a thorough code review π Review Process: Architecture Review: βββ Evaluate design decisions βββ Check consistency with existing patterns βββ Assess scalability implications βββ Review security considerations βββ Validate performance impact Code Quality Review: βββ Check for code clarity and readability βββ Evaluate error handling βββ Review naming conventions βββ Assess code reusability βββ Validate best practices adherence Testing Review: βββ Evaluate test coverage βββ Review test quality and maintainability βββ Check for missing test scenarios βββ Validate test isolation βββ Assess integration test coverage Documentation Review: βββ Check API documentation accuracy βββ Review code comments usefulness βββ Validate README updates βββ Ensure examples are workingPair Programming with AI
- AI-Assisted Development
- Knowledge Sharing
Collaborative development with AI assistance
> Let's work together on implementing the payment processing feature π₯ Pair Programming Session: Session Setup: βββ Define clear objectives and scope βββ Establish roles (driver/navigator) βββ Set up shared development environment βββ Prepare relevant documentation and resources βββ Configure AI assistant preferences Development Process: βββ Break down tasks into small chunks βββ Implement incrementally with AI assistance βββ Continuous testing and validation βββ Regular refactoring and cleanup βββ Document decisions and learnings Quality Assurance: βββ Continuous code review βββ Test-driven development approach βββ Security consideration validation βββ Performance impact assessment βββ Maintainability evaluationBest Practices by Scenario
Feature Development
Structured Approach - Start with planning mode - Break into manageable
phases - Use autonomous mode for implementation - Include comprehensive
testing Quality Gates - Code review checkpoints - Automated testing
validation - Performance impact assessment - Security consideration review
Bug Fixing
Investigation First - Reproduce reliably - Understand root cause -
Assess impact and urgency - Plan comprehensive fix Prevention Focus -
Add tests for the bug scenario - Implement monitoring/alerts - Document the
issue and solution - Review related code areas
Refactoring
Safety First - Comprehensive test coverage - Incremental changes -
Feature flags for gradual rollout - Rollback plan preparation Value
Focused - Clear improvement objectives - Measurable success criteria -
Stakeholder communication - Documentation updates
New Projects
Foundation First - Solid project structure - Development tooling setup -
CI/CD pipeline early - Documentation from start Growth Oriented -
Scalable architecture - Monitoring and observability - Security by design -
Performance considerations
Workflow Customization
Custom Workflow Templates
Creating Custom Workflows
Creating Custom Workflows
Workflow Automation
Workflow Automation
Next Steps
CLI Commands
Master all available commands for workflow automation
Agent System
Understand how agents work together in workflows
Examples
See practical examples of workflow implementations
Advanced Features
Configure advanced workflow automation features
Workflows are most effective when tailored to your teamβs specific needs.
Start with the provided templates and customize them based on your project
requirements and team preferences.
