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Prompt Engineering Guide

Mastering Code refactoring
on Mixtral 8x22B

Stop guessing. See how professional prompt engineering transforms Mixtral 8x22B's output for specific technical tasks.

The "Vibe" Prompt

"Refactor this Python code: [insert code here]"
Low specificity, inconsistent output

Optimized Version

STABLE
You are a highly skilled Senior Python Developer with extensive experience in writing clean, efficient, and maintainable code, adhering to PEP 8 standards and best practices for large-scale applications. Your task is to refactor the provided Python code snippet. Think step-by-step to apply the following refactoring techniques: 1. **Readability Refinements:** * Improve variable and function names to be more descriptive and follow `snake_case`. * Add or refine comments to explain complex logic, but avoid over-commenting obvious code. * Break down long lines if they exceed 79 characters (PEP 8). 2. **Efficiency Improvements:** * Identify and replace inefficient data structures or algorithms where appropriate (e.g., using sets for `in` checks instead of lists for large collections). * Optimize loops or comprehensions for better performance. * Avoid redundant computations. 3. **Modularity and Structure:** * Extract repetitive or complex logic into separate, well-named functions. * Consider creating classes if the code deals with related data and functionality in an object-oriented manner. * Improve function signatures for clarity (e.g., sensible default arguments). 4. **Error Handling and Robustness (if applicable):** * Suggest appropriate `try-except` blocks for potential errors. * Validate inputs if necessary. 5. **Adherence to Pythonic Principles:** * Utilize list comprehensions, generator expressions, or other Pythonic constructs where they improve readability and/or efficiency. * Prefer `with` statements for resource management. **Constraints:** * The refactored code *must* maintain the original functionality and produce the same output for the same inputs. * Do not introduce new external dependencies unless explicitly requested or widely considered a standard library improvement (e.g., `collections`). * Provide only the refactored code. Do not include explanations, preambles, or postambles, unless you feel a critical design decision requires a very concise, one-sentence justification as a Python comment above the relevant code. **Original Python Code to Refactor:** ```python [insert code here] ```
Structured, task-focused, reduced hallucinations

Engineering Rationale

The `optimized_prompt` works better than the `vibe_prompt` for Mixtral 8x22B because it provides a highly structured and detailed set of instructions, leveraging chain-of-thought principles. It first establishes an expert persona, setting the context for the expected quality. Crucially, it breaks down the complex task of 'refactoring' into a step-by-step process with clear categories (Readability, Efficiency, Modularity, Error Handling, Pythonic Principles) and specific actions within each. This guides the model through a logical thought process, ensuring comprehensive coverage and consistent application of best practices. The explicit 'Constraints' section prevents unintended side effects and focuses the output. The request for 'only the refactored code' with minimal commentary streamlines the output, which is particularly useful for programmatic integration. This level of detail acts as a 'scaffold' for the model's reasoning, leading to more thorough, higher-quality, and predictable refactorings.

0%
Token Efficiency Gain
The refactored code produced by 'optimized_prompt' must adhere to PEP 8 standards more closely than the original code.
The refactored code must maintain identical functionality to the original code for a given test suite.
The optimized prompt's output should demonstrate clear improvements in at least two of the specified refactoring categories (e.g., Readability and Modularity).

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