Abstract: Systems, computer program products, and methods are described herein for evaluating computing programming code changes using AI to improve computing performance and component consumption. The present invention is configured to identify at least one code commit change; determine whether the at least one code commit change matches at least one runtime restriction statement; classify the at least one code commit change as a restriction code commit change; identify at least one object reference, at least one class, and at least one method associated with the restriction code commit change; initiate a trigger-class method trace module on the restriction code commit change, wherein the trigger-class method trace module generates at least one runtime restriction weight associated with each restriction code commit change; and initiate a trigger flow trace module on the restriction code commit change and generate at least one suggested code commit change.