Coherent Fox is an audit generator for Python code based on pre-trained BERT model. It is done to have a Powerful NLP Model based on Attention mechanism. We have build our own transformer from scratch. We have focused our training on a Python Code DataSet from Hugging Face. The idea is to provide a transformer that been built through main attention scores which are identifiers and separators from the study done on Java, from BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. We provide in the back-end Cohere API that will generate a response to a user prompt through our interface. We are a team of two full-stack devs with Experience in ML & Blockchain also.