Technical Prompts for ChatGPT

Introduction

Technical prompts are essential for leveraging ChatGPT's capabilities in software development, testing, debugging, and system design. This guide covers best practices and patterns for crafting effective technical prompts.

Categories

Testing and QA

• Testing Scenarios Comprehensive guide for creating test cases and scenarios

Code Review

Prompts for effective code review:

Review this code for:
1. Best practices
2. Performance issues
3. Security vulnerabilities
4. Maintainability concerns

[Code block here]

System Design

Prompts for architecture design:

Design a system for [requirement] with:
1. Architecture overview
2. Component diagram
3. Data flow
4. Technology stack
5. Scalability considerations

Debugging

Prompts for problem solving:

Debug this issue:
1. Error message: [error]
2. Expected behavior: [description]
3. Current behavior: [description]
4. Environment: [details]
5. Steps to reproduce:
   [steps]

Best Practices

1. Be Specific

   • Define scope clearly
   • Specify constraints
   • Include relevant context

2. Structure Your Prompt

   • Use numbered lists
   • Break down complex requests
   • Include examples when needed

3. Provide Context

   • Technology stack
   • Version information
   • Environment details

4. Request Format

   • Specify output format
   • Define success criteria
   • Include validation steps

Advanced Techniques

Iterative Refinement

1. Start with high-level prompt
2. Analyze response
3. Refine with specifics
4. Validate results

Chain of Thought

Analyze this problem step by step:
1. Initial assessment
2. Identify key components
3. Evaluate alternatives
4. Propose solution
5. Consider trade-offs

Expert Role Prompting

Act as a senior [role] with expertise in [domain].
Review this [artifact] considering:
1. Industry best practices
2. Common pitfalls
3. Optimization opportunities

Tips for Success

1. Validate Assumptions

   • State prerequisites
   • Confirm understanding
   • Verify constraints

2. Iterate and Refine

   • Start broad
   • Focus on specifics
   • Validate results

3. Document and Share

   • Save effective prompts
   • Share success patterns
   • Build prompt library

Common Pitfalls

1. Vague Requirements

   • Unclear objectives
   • Missing context
   • Ambiguous criteria

2. Over-Complexity

   • Too many requirements
   • Unclear priorities
   • Mixed concerns

3. Insufficient Context

   • Missing dependencies
   • Unclear constraints
   • Incomplete environment info

Conclusion

Effective technical prompts require clear structure, specific requirements, and relevant context. Use these patterns and practices to improve your interactions with ChatGPT for technical tasks.