Metabob introduced an innovative approach to searching and eliminating errors in the program code using a combination of graph neural networks and large language models. These technologies allow not only to accurately determine the problem areas in the code, but also to offer ways to solve them.
Graf neural networks analyze the code, taking into account its structure and the connection between the elements, which makes it possible for a deeper understanding of its work. After the problem is discovered, information about it with context is stored in the Metabob system.
Then this information is transmitted to a large language model, similar to GPT, which processes the data obtained and forms an understandable explanation of the problem found, and also offers options for solving it.
Thus, a combination of graphic neural networks for detailed analysis and large language models to interpret the results makes Metabob a powerful tool for programmers, allowing them to effectively find and correct complex errors in the code.
metabot is free for individual developers.