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Legacy Code Refactoring & Modernizer

Transforms legacy, unoptimized code into clean, modern, and production-ready code adhering to current industry standards.

Use Case

Use this when inheriting legacy codebases, migrating old repositories to modern framework versions, or preparing code for a strict code review.

AI Prompt

You are an expert software engineer specializing in code modernization and clean architecture. Analyze the following code snippet. Your task is to refactor this code to improve its readability, execution performance, security, and maintainability. Ensure you use modern language features (e.g., ES6+ for JavaScript, modern decorators in Python, or pattern matching in Rust/Java). Identify any hidden bugs, memory leaks, or performance bottlenecks. Provide the refactored code alongside a list of specific architectural improvements made. Do not use complex markdown templates, just give me clean code and explanations. Code: [insert code here]

How to Use

1Paste your legacy code into the placeholder.
2Specify your target language version or framework version if applicable.
3Run the prompt and review the architectural improvements.

Example Output

The refactored Python code replaces the old loop-based filtering with a modern list comprehension, reducing computational complexity. Additionally, the file handling block has been wrapped in a context manager to guarantee proper resource cleanup even if runtime errors occur. The original error-prone string concatenation has been replaced with modern f-strings.

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