Development Workflows

Optimize your development process with AI-powered workflows that enhance productivity, code quality, and team collaboration.

Workflow Patterns

Feature Branch

AI-assisted feature development

  • Automatic branch creation and context setup
  • AI code suggestions based on feature requirements
  • Automated testing and documentation

Pair Programming

AI as your coding partner

  • Real-time code collaboration with AI
  • Instant feedback and suggestions
  • Knowledge sharing and learning

Continuous Integration

Automated CI/CD pipeline

  • AI-powered code review on every commit
  • Automatic test generation and execution
  • Smart deployment strategies

Security-First

Built-in security scanning

  • Vulnerability detection before merge
  • Dependency security analysis
  • Code security best practices enforcement

Feature Branch Workflow

workflow.sh
# Feature Branch Workflow with AI Assistance

# 1. Create feature branch
git checkout -b feature/user-authentication

# 2. Initialize AI agent for the feature
mcpcodex agent init --type feature --context auth

# 3. Develop with AI assistance
mcpcodex develop --watch --auto-suggest

# 4. Run AI code review before commit
mcpcodex review --fix-issues

# 5. Generate tests
mcpcodex test generate --coverage 80

# 6. Commit with AI-generated message
mcpcodex commit --auto-message

# 7. Create PR with AI summary
mcpcodex pr create --auto-description

AI-Powered CI/CD

ai-pipeline.yml
// .github/workflows/ai-pipeline.yml
name: AI-Powered CI/CD

on:
  pull_request:
    types: [opened, synchronize]
  push:
    branches: [main]

jobs:
  ai-review:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      
      - name: AI Code Review
        run: |
          mcpcodex review --strict
          mcpcodex security scan
          mcpcodex performance analyze
      
      - name: AI Test Generation
        run: |
          mcpcodex test generate --missing
          npm test
      
      - name: AI Documentation
        run: |
          mcpcodex docs generate
          mcpcodex docs validate
      
      - name: Deploy with AI Monitoring
        if: github.ref == 'refs/heads/main'
        run: |
          mcpcodex deploy --env production
          mcpcodex monitor start

Best Practices

Define Clear Contexts

Provide AI agents with clear context about your project structure, coding standards, and business requirements for better assistance.

Iterate Quickly

Use AI for rapid prototyping and iteration. Generate multiple solutions and test them quickly to find the best approach.

Review AI Suggestions

Always review AI-generated code and suggestions. Use AI as an assistant, not a replacement for critical thinking.

Maintain Code Quality

Use AI-powered linting, formatting, and code review tools to maintain consistent code quality across your team.

Next Steps

Ready to Optimize Your Workflow?

Start implementing AI-powered workflows in your projects today.