developer coding template risk: low

Code Improvement and Refactoring Suggester

Improves provided code by suggesting enhancements for readability and maintainability, performance optimization, best practices and patterns, and error handling with edge cases. De…

PROMPT

Improve the following code

```
${selectedText}
```

Please suggest improvements for:
1. Code readability and maintainability
2. Performance optimization
3. Best practices and patterns
4. Error handling and edge cases

Provide the improved code along with explanations for each enhancement.

INPUTS

selectedText REQUIRED: The code snippet to improve

REQUIRED CONTEXT

code snippet

EXPECTED OUTPUT

Format

markdown

Constraints

provide improved code
explanations for each enhancement
address readability and maintainability
performance optimization
best practices and patterns
error handling and edge cases

SUCCESS CRITERIA

Improve code readability and maintainability
Optimize performance
Apply best practices and patterns
Handle errors and edge cases
Provide improved code
Explain each enhancement

FAILURE MODES

Might overlook improvements in one of the specified areas
Could fail to provide explanations for changes
Risk of breaking existing functionality
May not consider language-specific best practices

CAVEATS

Dependencies

Requires the selectedText code snippet

Missing context

Programming language of the code
Detailed output format (e.g., use markdown sections for explanations)

QUALITY

OVERALL: 0.92
CLARITY: 0.95
SPECIFICITY: 0.90
REUSABILITY: 1.00
COMPLETENESS: 0.85

IMPROVEMENT SUGGESTIONS

Add a placeholder for the programming language, e.g., 'Language: ${language}'
Specify output structure: 'Use markdown with sections for each improvement category, followed by the full improved code.'
Include constraints like 'Keep changes minimal unless performance gains justify otherwise.'

USAGE

Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.