Prompt Examples

Code Review

Architecture Review

Analyze this codebase's architecture:
1. Evaluate the overall structure and patterns
2. Identify potential architectural issues
3. Suggest improvements for scalability
4. Note areas that follow best practices

Focus on maintainability and modularity.

Security Review

Perform a security review of this codebase:
1. Identify potential security vulnerabilities
2. Check for common security anti-patterns
3. Review error handling and input validation
4. Assess dependency security

Provide specific examples and remediation steps.

Performance Review

Review the codebase for performance:
1. Identify performance bottlenecks
2. Check resource utilization
3. Review algorithmic efficiency
4. Assess caching strategies

Include specific optimization recommendations.

Documentation Generation

API Documentation

Generate comprehensive API documentation:
1. List and describe all public endpoints
2. Document request/response formats
3. Include usage examples
4. Note any limitations or constraints

Developer Guide

Create a developer guide covering:
1. Setup instructions
2. Project structure overview
3. Development workflow
4. Testing approach
5. Common troubleshooting steps

Architecture Documentation

Document the system architecture:
1. High-level overview
2. Component interactions
3. Data flow diagrams
4. Design decisions and rationale
5. System constraints and limitations

Analysis and Improvement

Dependency Analysis

Analyze the project dependencies:
1. Identify outdated packages
2. Check for security vulnerabilities
3. Suggest alternative packages
4. Review dependency usage patterns

Include specific upgrade recommendations.

Test Coverage

Review the test coverage:
1. Identify untested components
2. Suggest additional test cases
3. Review test quality
4. Recommend testing strategies

Code Quality

Assess code quality and suggest improvements:
1. Review naming conventions
2. Check code organization
3. Evaluate error handling
4. Review commenting practices

Provide specific examples of good and problematic patterns.

Tips for Better Results

1. Be Specific: Include clear objectives and evaluation criteria
2. Set Context: Specify your role and expertise level needed
3. Request Format: Define how you want the response structured
4. Prioritize: Indicate which aspects are most important

Model-Specific Notes

Claude

• Use XML output format
• Place important instructions at the end
• Specify response structure

ChatGPT

• Use Markdown format
• Break large codebases into sections
• Include system role prompts

Gemini

• Works with all formats
• Focus on specific areas per request
• Use step-by-step analysis