SwiftLens is a Model Context Protocol (MCP) server that provides deep, semantic-level analysis of Swift codebases to any AI models. By integrating directly with Apple's SourceKit-LSP, SwiftLens enables AI models to understand Swift code with compiler-grade accuracy.
git clone https://github.com/swiftlens/swiftlens.gitSwiftLens is a Model Context Protocol (MCP) server that provides deep, semantic-level analysis of Swift codebases to any AI models. By integrating directly with Apple's SourceKit-LSP, SwiftLens enables AI models to understand Swift code with compiler-grade accuracy.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/swiftlens/swiftlensCopy the install command above and run it in your terminal.
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Use the prompt template or examples below to test the skill.
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Analyze the following Swift code using SwiftLens and provide a detailed breakdown of its structure, dependencies, and potential optimizations. Here is the code from [COMPANY] in the [INDUSTRY] sector: [CODE]. Focus on identifying areas where performance can be improved and suggest best practices for maintaining code quality.
# Swift Code Analysis Report ## Overview The provided Swift code is a part of a networking module for a mobile application. It handles API requests and responses, with a focus on JSON parsing and error handling. ## Key Components - **NetworkManager**: Central class for handling API requests - **JSONParser**: Utility for parsing JSON responses - **ErrorHandler**: Custom error handling for network issues ## Performance Analysis - **JSON Parsing**: The current implementation uses `JSONSerialization`, which is slower than `Codable` for complex JSON structures. - **Error Handling**: The error handling could be more granular to better categorize different types of network issues. - **Memory Management**: The code does not efficiently manage memory for large responses, which could lead to memory leaks. ## Recommendations - **Adopt Codable**: Replace `JSONSerialization` with `Codable` for better performance and readability. - **Enhance Error Handling**: Implement a more detailed error handling system to improve debugging. - **Optimize Memory Usage**: Use lazy loading and proper memory management techniques for large responses.
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