A comprehensive collection of AI development prompts to enhance your coding workflow. PromptAtlas provides expert-level templates for various domains, languages, and AI tools to accelerate your development process.
- 🎯 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
- 🤖 AI Development: Optimized workflows for AI-assisted development
- 🔄 CI/CD: Continuous integration and deployment templates
- 💻 IDE Integration: Custom rules for AI coding assistants like Cursor
-
Choose Your Template
- Browse the repository by domain, language, or pattern
- Select a prompt that matches your development needs
- Follow the usage instructions in the prompt file
-
Customize the Prompt
- Replace placeholders with your specific requirements
- Add or remove sections as needed
- Follow the examples provided in each template
-
Use with Your AI Assistant
- Copy the customized prompt
- Paste it into your AI assistant (ChatGPT, Claude, GitHub Copilot, etc.)
- Iterate based on the results
PromptAtlas is organized to help you quickly find the prompts you need:
graph TD
A[PromptAtlas] --> B[prompts/]
A --> C[tools/]
A --> D[guides/]
A --> E[templates/]
B --> F[domains/]
B --> G[languages/]
B --> H[patterns/]
F --> F1[cloud/]
F --> F2[frontend/]
F --> F3[backend/]
F --> F4[mobile/]
F --> F5[devops/]
G --> G1[python/]
G --> G2[typescript/]
G --> G3[other/]
H --> H1[architecture/]
H --> H2[optimization/]
H --> H3[testing/]
C --> C1[cursor/]
C --> C2[copilot/]
C --> C3[chat-models/]
D --> D1[getting-started.md]
D --> D2[best-practices.md]
D --> D3[examples/]
E --> E1[prompt-templates/]
E --> E2[github/]
- Cloud Development: AWS Lambda, serverless, cloud architecture
- Frontend Development: React, components, performance
- Backend Development: APIs, databases, microservices
- Mobile Development: React Native, Flutter, native apps
- DevOps: CI/CD pipelines, deployment, infrastructure
- Python: AI/ML engineering, optimization, best practices
- TypeScript: Next.js, React, modern web development
- Other Languages: Coming soon!
- Cursor AI: Agent frameworks and specialized rules
- GitHub Copilot: Optimization settings and templates
- Chat Models: Configurations for ChatGPT, Claude, etc.
Each prompt in PromptAtlas follows a standardized format:
- Description: What the prompt helps you accomplish
- Use Cases: Scenarios where the prompt is most useful
- Parameters: Variables you should customize
- Example Usage: How to adapt the prompt for your needs
- Expected Output: What the AI assistant should produce
- Customization Guide: Tips for adapting to specific scenarios
Example usage:
I need to develop an AWS Lambda function for image processing with:
1. Function Specifications:
- Runtime: Python 3.11
- Memory: 1024 MB
- Timeout: 30 seconds
2. Event Sources:
- S3 bucket upload
- Event pattern: _.jpg, _.png
- DLQ for failed processing
3. Integration Points:
- Input: S3 bucket
- Output: Processed images to S3
- Metadata: DynamoDBWe welcome contributions to PromptAtlas! Here's how you can help:
- Add New Prompts: Create templates for new domains or use cases
- Improve Existing Prompts: Enhance clarity, add examples, fix issues
- Documentation: Improve guides, add tutorials, create examples
- Share Your Experience: Add case studies showing prompt effectiveness
See our Contribution Guidelines for detailed instructions.
This project is licensed under the MIT License - see the LICENSE file for details.
Bjorn Melin
AI/ML Leader · GenAI & LLM Expert · Cloud Architect & Full-Stack Developer
- All contributors who have helped improve these templates
- The AI/ML community for valuable feedback
- Open source projects that inspired this collection
Made with 🤖 by developers, for developers.