Various methods, apparatuses/systems, and media for checking the implementation of the design systems/tool kits in application development are disclosed. A processor accesses a database that stores statistical data corresponding to implementing a new application or feature enhancement into a current application; scans an endpoint and collect corresponding statistical data from the database; generates feedback data based on the collected corresponding statistical data regarding implementing the new application or feature enhancement into a current application; creates a machine learning model configured to be trained to output decision data based on the generated feedback data; trains the machine learning model with the decision data; and generates a score by utilizing the trained machine learning model. The score is a value that is compared by the processor with a predetermined threshold value to determine a degree of readiness to implement the new application or to implement the feature enhancement into the current application.