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 ```
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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CodingUse Cases
Code generationSelf-consistencyRobust coding
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claude-sonnet-4-20250514gpt-4o
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