Predictive AI feedback models based on technological debt analysis for project risk management

The research is devoted to the development of the concept of predictive AI models focused on identifying and predicting project risks through the analysis of hidden technological debt (TD) in the code base and software development processes. The proposed approach involves the creation of feedback systems capable of identifying patterns that lead to long-term negative consequences, often overlooked by experts due to cognitive limitations. The main focus is on the need to develop specific TD metrics and machine learning algorithms for their analysis that go beyond current industry standards and existing scientific research. Innovation lies in the ability of the model to predict future problems based on an analysis of the current state of the technical context of the project.