Code Documentation Generation

Code documentation generation aims to automate the creation of clear and concise explanations for software code, improving maintainability and understanding. Current research heavily utilizes large language models (LLMs), often enhanced with techniques like prompt engineering and static program analysis, to generate documentation at various levels (function, file, repository). Studies show that while LLMs can significantly improve documentation quality compared to existing methods, effective prompting strategies and the handling of diverse code styles remain active research areas. This automated approach has the potential to significantly reduce the time and effort required for software documentation, leading to more robust and understandable codebases.