![]() ![]() The code snippet and the corresponding comment were separated in the dataset. We used pairs of code and comments from CodeSearchNet Clean as the dataset. The first step was to implement a “code to comment” model. ![]() Here at Akvelon, we decided to search for a way to help developers maintain their code and deal with the problem of documenting it once and for all with the help of AI. The codeless model summarizes the code and returns elaborate descriptions of it, and the results are astonishing. GitHub Copilot generates code based on what the user wants to implement. The code inference and autocomplete models can easily understand and even write code automatically with little to no user involvement. Recent developments in artificial intelligence and machine learning provide new opportunities for developers. A good comment gives clarity, and brings knowledge and context to the code. However, when new developers join the project and look at the code, they are left confused and bewildered. Living with this mindset, the codebase grows with only a few people who actually understand how it works due to lack of code documentation. Instead programmers may argue “Oh, come on, good code documents itself” and continue on with more crucial work. They realize the importance of well-documented code, but rarely do developers consider committing much time to it. Many developers consider writing documentation to be a poor use of their time. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |