Codestral Hackathon: 24 Hours Challenge

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NewTest

Luiss0606

The project aims to develop an automated documentation generator leveraging a Large Language Model (LLM). The primary objective is to streamline the documentation process for software projects, enhancing efficiency, consistency, and accessibility. By allowing users to upload source code files and metadata, the system breaks down the code into smaller components for detailed analysis. It then uses an LLM to generate tailored documentation for each component, ensuring high-quality, uniform outputs. The generated documentation is compiled, formatted, and styled according to user preferences, making it easier for developers to understand and maintain code. Additionally, the system supports continuous integration, automatically updating documentation with code changes, and incorporates user feedback for iterative improvements. Overall, this solution significantly reduces the manual effort required for documentation, enabling developers to focus more on coding and innovation.

The project automates software documentation using an LLM, improving efficiency and consistency. It analyzes code, generates detailed docs, and updates automatically, reducing manual effort for developers.

"NewTest team on Codestral Hackathon: 24 Hours Challenge Hackathon"

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