Welcome to the Prompt Library¶
A comprehensive collection of prompts and best practices for AI-assisted development.
Overview¶
This library contains a curated collection of prompts, techniques, and best practices for working with AI tools like GitHub Copilot, ChatGPT, and other AI assistants. The content is organized by task type, role, and development phase to help you find the most effective prompts for your specific needs.
GitHub Copilot: Your AI-Powered Hero¶
GitHub Copilot is at the heart of this library, empowering developers to write better code faster. With its AI-driven suggestions, Copilot helps you:
- Accelerate Development: Generate boilerplate code, functions, and even entire modules with ease.
- Improve Code Quality: Get real-time suggestions for cleaner, more efficient code.
- Learn on the Go: Discover new libraries, frameworks, and best practices as you code.
- Collaborate Effectively: Use AI to enhance code reviews and team productivity.
Explore the following resources to make the most of GitHub Copilot:
- Prompt Engineering Best Practices: Learn how to craft effective prompts for Copilot.
- GitHub Copilot Specific Techniques: Unlock advanced features and tips.
- Copilot Chat Patterns: Master conversational AI for coding assistance.
How GitHub Copilot Helps in SDLC¶
| SDLC Stage | Designer | Developer | DevOps Engineer | Tester |
|---|---|---|---|---|
| Requirements | Generate user stories and wireframes | Suggest technical requirements | Define CI/CD pipeline requirements | Identify test case requirements |
| Design | Suggest mockups and prototypes | Suggest design patterns | Plan infrastructure design | Review design for testability |
| Development | Provide design feedback | Generate boilerplate code | Help in creating automated deployment scripts | Help in creatinge automated test scripts |
| Testing | Validate design against requirements | Suggest debugging techniques | Suggest scipts to monitor test environments | Help in creating automated regression testing |
| Deployment | Review deployment plans | Help in optimizing deployment configurations | Generating deployment pipelines | Validate deployment status by logs |
| Maintenance | Suggest improvements to designs | Refactor legacy code | Suggest scripts to monitor system performance | Generating automated maintenance testing scripts |
Key Categories¶
- AI & ML Development: Resources for data preprocessing and training script creation
- Best Practices: Guidelines for code reviews, prompt engineering, and security
- Code Optimization: Techniques for improving efficiency and performance
- Documentation: Tools for creating effective documentation
- Role-Specific Guidance: Tailored prompts for different roles (Designer, Developer, DevOps, etc.)
- Testing: Strategies for test case creation and automation
Quick Links¶
Persona-Wise Resources¶
- Designer Resources
- Developer Resources
- DevOps Engineer Resources
- Product Manager Resources
- Tester Resources
SDLC Stage-Specific Resources¶
- Requirements Gathering
- Design Phase
- Development Phase
- Testing Phase
- Deployment Phase
- Maintenance Phase
Troubleshooting and Optimization¶
Getting Started¶
Browse the navigation menu to explore different categories or use the search function to find specific topics. Each page contains practical examples and templates you can adapt for your own projects.
Contributing¶
To contribute to this library, please follow our contribution guidelines and submit a pull request with your suggested additions or improvements.