DeepSeek Prompt for DeepSeek Optimized
Leverages DeepSeek's reasoning for designing efficient algorithms with formal complexity analysis and correctness proofs.
More prompts for DeepSeek Optimized.
Uses DeepSeek to analyze system architectures and identify performance bottlenecks, scalability issues, and optimization opportunities.
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A DeepSeek-optimized refactoring prompt to improve single tenant to multi-tenant in a Python survey builder codebase.
Replace the bracketed placeholders with your own context before running the prompt:
[PROBLEM_DESCRIPTION]— fill in your specific problem_description.[INPUT_SIZE_AND_CONSTRAINTS]— fill in your specific input_size_and_constraints.[TARGET_TIME_COMPLEXITY — or "optimize as much as possible"]— fill in your specific target_time_complexity — or "optimize as much as possible".[TARGET_SPACE_COMPLEXITY — or "reasonable"]— fill in your specific target_space_complexity — or "reasonable".[PREFERRED_LANGUAGE]— fill in your specific preferred_language.