https://github.com/bjornmelin/ai-powered-development-prompts
Expert-level prompt templates for modern software development using AI pair programming.
https://github.com/bjornmelin/ai-powered-development-prompts
agents generative-ai prompt-engineering prompt-optimization prompt-template python reference typescript
Last synced: 6 months ago
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Expert-level prompt templates for modern software development using AI pair programming.
- Host: GitHub
- URL: https://github.com/bjornmelin/ai-powered-development-prompts
- Owner: BjornMelin
- License: mit
- Created: 2024-11-14T16:59:10.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-03-27T02:15:46.000Z (7 months ago)
- Last Synced: 2025-03-27T03:23:13.966Z (7 months ago)
- Topics: agents, generative-ai, prompt-engineering, prompt-optimization, prompt-template, python, reference, typescript
- Homepage:
- Size: 87.9 KB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
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README
# 🚀 AI-Powered Development Prompts (AIPD)
[](https://choosealicense.com/licenses/mit/)
[](CONTRIBUTING.md)
[](https://www.credly.com/org/amazon-web-services/badge/aws-certified-solutions-architect-associate)
[](https://www.credly.com/org/amazon-web-services/badge/aws-certified-developer-associate)
[](https://www.credly.com/org/amazon-web-services/badge/aws-certified-cloud-practitioner)
[](https://github.com/BjornMelin)
[](https://www.linkedin.com/in/bjorn-melin/)Expert-level prompt templates for modern software development using AI pair programming. Optimize your development workflow with carefully crafted prompts for everything from AWS Lambda functions to full-stack applications.
## 🌟 Features
- 🎯 **Specialized Templates**: Carefully crafted prompts for different development scenarios
- 🏗️ **Architecture Patterns**: Best practices for modern software design
- ⚡ **Performance Optimization**: Templates focused on scalability and efficiency
- 🔒 **Security First**: Built-in security considerations for each template
- 🚀 **Cloud Native**: Deep integration with modern cloud services
- 📱 **Full Stack**: Coverage from frontend to backend to mobile## 📚 Quick Links
- [Getting Started](#-getting-started)
- [Templates Library](./prompts/)
- [Examples](./examples/)
- [Contributing](CONTRIBUTING.md)
- [Best Practices](./docs/best-practices.md)## 🚀 Getting Started
1. **Choose Your Template**
```bash
# Navigate to the relevant category
prompts/
├── cloud/ # Cloud-specific prompts (AWS, Azure, GCP)
├── frontend/ # Frontend development templates
├── backend/ # Backend and API templates
├── mobile/ # Mobile development prompts
├── python/ # Reusable expert Python prompts
└── typescript/ # Reusable expert TypeScript Prompts - Next.js, React
```2. **Customize Your Prompt**
- Replace placeholder values with your specific requirements
- Follow the examples provided in each template
- Add or remove sections based on your needs3. **Execute Your Development Plan**
- Use the prompts with your preferred AI assistant
- Follow the structured approach for consistent results
- Iterate based on feedback and results## 📋 Available Templates
### Cloud Development
- [AWS Lambda Functions](./prompts/cloud/aws-lambda.md)
- [Serverless Applications](./prompts/cloud/serverless.md)
- [Cloud Architecture](./prompts/cloud/architecture.md)### Frontend Development
- [React Applications](./prompts/frontend/react.md)
- [Performance Optimization](./prompts/frontend/performance.md)
- [Component Architecture](./prompts/frontend/components.md)### Backend Development
- [API Design](./prompts/backend/api.md)
- [Database Optimization](./prompts/backend/database.md)
- [Microservices](./prompts/backend/microservices.md)### Mobile Development
- [React Native](./prompts/mobile/react-native.md)
- [Flutter](./prompts/mobile/flutter.md)
- [Native Apps](./prompts/mobile/native.md)### Python Development
- [Expert-level Python Prompts](./prompts/python/)
### TypeScript
- [Expert TypeScript Prompts (Next.js, React)](./prompts/typescript/)
## 💡 Example Usage
```markdown
I need to develop an AWS Lambda function for image processing with:1. Function Specifications:
- Runtime: Python 3.11
- Memory allocation: 1024 MB
...[See full example in examples/lambda-image-processor.md]
```## 🤝 Contributing
Your contributions are always welcome! See our [Contribution Guidelines](CONTRIBUTING.md) for ways to get started.
We accept:
- 📝 New prompt templates
- 🎨 Template improvements
- 📚 Documentation updates
- 💻 Example implementations
- 🐛 Bug fixes## 📈 Best Practices
- Keep prompts specific and actionable
- Include clear requirements and constraints
- Follow the provided structure
- Add examples where possible
- Consider scalability and maintenance## 📜 License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## 🌟 Star History
[](https://star-history.com/#yourusername/ai-powered-development-prompts&Date)
## 🙏 Acknowledgments
- All contributors who have helped improve these templates
- The AI/ML community for valuable feedback
- Open source projects that inspired this collection---
## 👨💻 Author
### Bjorn Melin
[](https://www.credly.com/org/amazon-web-services/badge/aws-certified-solutions-architect-associate)
[](https://www.credly.com/org/amazon-web-services/badge/aws-certified-developer-associate)
[](https://www.credly.com/org/amazon-web-services/badge/aws-certified-cloud-practitioner)AWS-certified Solutions Architect and Developer with expertise in cloud architecture and modern development practices. Connect with me on:
- [GitHub](https://github.com/BjornMelin)
- [LinkedIn](https://www.linkedin.com/in/bjorn-melin/)Made with ❤️ by developers, for developers.