A comprehensive collection of world-class AI agent prompt templates for building enterprise-grade full-stack applications. Each prompt template represents a highly skilled team member with a focused job scope, designed to deliver corporate-level professional projects without hallucinations, mistakes, or errors.
This repository contains carefully crafted prompt templates for every essential role in a full-stack development team. Each template is designed to:
- Deliver Highest Quality Output: Prompts are structured to minimize hallucinations and errors
- Maintain Single Responsibility: Each role has a clearly defined scope
- Support Cloud Integration: Optimized for cloud services like Azure, AWS, and GCP
- Enable Professional Development: Follow enterprise-level best practices and patterns
- Ensure Consistency: Maintain coding standards and architectural principles
- Requirements gathering and documentation
- User story creation and backlog management
- Feature prioritization and roadmap planning
- System architecture and design decisions
- Technology stack selection
- Code review and quality standards
- Technical documentation
- React, Vue, Angular development
- Responsive UI implementation
- State management and routing
- Performance optimization
- RESTful API design and implementation
- Database schema design
- Business logic and services
- API documentation
- CI/CD pipeline setup
- Infrastructure as Code (Terraform, ARM templates)
- Container orchestration (Docker, Kubernetes)
- Deployment automation
- Test strategy and planning
- Unit, integration, and E2E testing
- Test automation frameworks
- Quality assurance processes
- Database design and optimization
- Query performance tuning
- Data migration strategies
- Backup and recovery procedures
- Security architecture review
- Vulnerability assessment
- Authentication and authorization
- Compliance and best practices
- User interface design
- User experience optimization
- Design system creation
- Accessibility standards
- Azure services integration
- Cloud architecture patterns
- Cost optimization
- Scalability and reliability
- Navigate to the specific role directory (e.g.,
/prompts/backend-dev/) - Choose the appropriate prompt template file
- Copy the prompt template
- Customize the template with your specific project requirements
- Use with your preferred AI assistant (ChatGPT, Claude, GitHub Copilot, etc.)
# Using the Backend Developer Prompt
1. Open `/prompts/backend-dev/api-developer.md`
2. Copy the prompt template
3. Add your specific requirements:
- Technology stack (Node.js, Python, .NET, etc.)
- Database type (PostgreSQL, MongoDB, etc.)
- Cloud platform (Azure, AWS, GCP)
4. Paste into your AI assistant
5. Provide additional context about your project- Be Specific: Provide clear context about your project, tech stack, and requirements
- Use One Role at a Time: Focus on one team member's perspective per conversation
- Provide Examples: Share existing code patterns or conventions when available
- Iterate: Use follow-up questions to refine outputs
- Review and Test: Always review AI-generated code and test thoroughly
- Code Reviews: Use the Tech Lead prompt to review code quality
- Testing: Apply the QA Engineer prompt to create comprehensive test suites
- Security: Run the Security Engineer prompt to identify vulnerabilities
- Performance: Leverage the appropriate specialist prompts for optimization
Prompts-FullStackDevTeam/
├── README.md # This file
├── LICENSE # MIT License
├── prompts/
│ ├── product-manager/ # Product management prompts
│ ├── tech-lead/ # Technical leadership prompts
│ ├── frontend-dev/ # Frontend development prompts
│ ├── backend-dev/ # Backend development prompts
│ ├── devops/ # DevOps and deployment prompts
│ ├── qa-testing/ # Quality assurance prompts
│ ├── database/ # Database engineering prompts
│ ├── security/ # Security engineering prompts
│ ├── ui-ux/ # UI/UX design prompts
│ └── cloud-azure/ # Cloud services prompts
└── examples/ # Example projects and use cases
- Start with Product Manager to define requirements and user stories
- Use Tech Lead to design the system architecture
- Employ Frontend and Backend developers to implement features
- Apply DevOps to set up CI/CD pipelines
- Utilize QA Engineer to create test suites
- Consult Security Engineer for security review
- Deploy with Cloud/Azure Specialist for cloud integration
- Code Quality: Use Tech Lead for refactoring guidance
- Performance: Consult Database Engineer for query optimization
- Security: Run Security Engineer prompt for vulnerability assessment
- Testing: Apply QA Engineer prompt to improve test coverage
- Infrastructure: Use DevOps for deployment improvements
Contributions are welcome! If you have improvements or additional prompt templates:
- Fork the repository
- Create a feature branch
- Add your prompt template with clear documentation
- Submit a pull request
This project is licensed under the MIT License - see the LICENSE file for details.
- ✅ World-class prompt templates for each role
- ✅ Enterprise-grade quality standards
- ✅ Cloud platform integration (Azure, AWS, GCP)
- ✅ Minimal hallucination and error-prone outputs
- ✅ Focused single-responsibility design
- ✅ Comprehensive documentation
- ✅ Real-world use cases and examples
For questions, issues, or suggestions:
- Open an issue in this repository
- Review existing templates and examples
- Check the documentation in each role directory
This repository aims to:
- Provide a complete AI agent team for full-stack development
- Minimize common AI hallucinations through structured prompts
- Enable rapid development of enterprise-grade applications
- Support modern cloud platforms and services
- Maintain high code quality and best practices
- Create reusable, adaptable prompt templates
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