CodeGenie is a tool designed to analyze source code using large language model (LLM) technology. It is engineered to assist developers in enhancing code quality and efficiency by providing detailed, context-sensitive insights into their codebases.
Technical Features:
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Multiple Prompts Per File: CodeGenie supports the application of multiple analysis prompts on a single source code file. This feature allows for a broad spectrum of analyses ranging from syntax checking to more complex pattern recognition within the same file.
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Environment-Specific Analysis: This functionality enables CodeGenie to distinguish between test environments and production environments. By doing so, it tailors the analysis prompts based on the context, ensuring that feedback and insights are relevant to the intended use case of the code segment being analyzed.
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Hierarchical Analysis Capabilities: Reflecting the organizational structure of software development projects, CodeGenie performs analyses at multiple levels including packages, modules, and other hierarchical elements. This allows developers to gain insights into the structure and dependencies of their projects.
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Configurable LLM Technology: CodeGenie is designed with flexibility in mind, supporting the integration of various LLM technologies. Developers can switch between different LLMs through a simple configuration setting, allowing the use of the most appropriate technology for specific analysis tasks.
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Parallelized Analysis: To enhance efficiency, CodeGenie is capable of performing multiple analysis tasks in parallel. This parallel processing capability speeds up the analysis process, enabling real-time feedback and faster iteration cycles on complex codebases.
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