System and method for assessing and enhancing quality of prompts in generative ai-driven software coding

Abstract

System and method for assessing and enhancing quality of prompts in generative AI-driven software coding is disclosed. The method includes, receiving a user input, wherein the user input comprises at least one keyword associated with a task, predicting an intent of the user input based on the at least one keyword, the task, and a context of the at least one keyword, and predicting a plurality of target elements applicable to the user input based on the predicted intent, wherein the plurality of target elements comprise entities and actions in the user input. The method further includes, validating an impact of the predicted plurality of target elements on a task performance using a simulation performance model, determining an input a quality of the user input based on results of validation, determining an appropriate set of target elements among the plurality of target elements for performing the task based on the performance score, generating a plurality of recommendations for the user input based on the appropriate set of target elements, and outputting the generated plurality of recommendations.