Not only CoPilot: Anomaly Detection in Software Development wi | Big Data Science

Not only CoPilot: Anomaly Detection in Software Development with ControlFlag by IntelLabs
Intel provided its response to OpenAI's AI CoPilot. Meet ControlFlag, a self-checking pattern detection system that learns typical patterns in the control structures of high-level programming languages like C / C ++ by pulling them from GitHub repositories, etc. These patterns are then used to detect anomalies in custom code. ControlFlag can be used to detect typos, missed NULL checks, and more.
Having first introduced the product at the end of 2020, in 2021 Intel opened up the ControlFlag source code based on the unsupervised learning method. After studying more than a billion lines of code, the system finds errors with high accuracy and is able to adapt to the style of individual developers in order to distinguish anomaly from the peculiarities of coding.
https://github.com/IntelLabs/control-flag