claude-code-workflows

Here's a production-ready development workflow for the 'E-Commerce Platform' project using Python. The workflow includes 5 stages, each with specific tasks and deliverables, designed to streamline the development process and improve code quality.

**Stage 1: Planning and Design**
- Task 1: Define project scope and requirements
- Task 2: Create system architecture diagram
- Task 3: Design database schema
- Deliverable: Project plan and design documents
- Timeline: 1 week
- AI Agent: Design Assistant for creating architecture diagrams

**Stage 2: Setup and Configuration**
- Task 1: Set up development environment
- Task 2: Configure version control system (Git)
- Task 3: Set up CI/CD pipeline
- Deliverable: Configured development environment
- Timeline: 1 week
- AI Agent: DevOps Assistant for CI/CD pipeline configuration

**Stage 3: Development**
- Task 1: Implement core features
- Task 2: Write unit tests
- Task 3: Conduct code reviews
- Deliverable: Working code with unit tests
- Timeline: 4 weeks
- AI Agent: Code Review Assistant for automated code reviews

**Stage 4: Testing**
- Task 1: Perform integration testing
- Task 2: Conduct performance testing
- Task 3: Fix bugs and issues
- Deliverable: Tested and stable code
- Timeline: 2 weeks
- AI Agent: Test Automation Assistant for generating test cases

**Stage 5: Deployment and Monitoring**
- Task 1: Deploy application to production
- Task 2: Set up monitoring and logging
- Task 3: Gather user feedback
- Deliverable: Deployed application with monitoring
- Timeline: 1 week
- AI Agent: Monitoring Assistant for setting up logging and alerts

This workflow integrates Django, React, and Docker, following the MVC design pattern. The suggested AI agents automate repetitive tasks, improving productivity and code quality.