Self-Consistency for Code Generation

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Apply self-consistency to code generation by creating multiple solutions, analyzing patterns, and synthesizing a robust consensus implementation.

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Apply self-consistency to generate more reliable code.

## Code Task
{{code_task}}

## Requirements
{{requirements}}

## Language
{{programming_language}}

Generate multiple solutions and find consensus:

**Solution 1**
```{{programming_language}}
// First implementation approach
```

**Solution 2**
```{{programming_language}}
// Alternative implementation
```

**Solution 3**
```{{programming_language}}
// Third variation
```

**Consistency Analysis**
- Common patterns across solutions
- Divergent approaches
- Edge case handling differences
- Performance implications

**Consensus Solution**
Combine best elements from all solutions:
- Use the most robust error handling
- Apply the clearest logic structure
- Include all edge case coverage
- Optimize for readability

**Final Code**
```{{programming_language}}
// Consensus implementation
```

Details

Category

Coding

Use Cases

Code generationSelf-consistencyRobust coding

Works Best With

claude-sonnet-4-20250514gpt-4o
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Self-Consistency for Code Generation | Promptsy