System And Method For Leveraging Artificial Intelligence Based Feedback For Software Development

An endpoint device comprising:

• an interface;
• one or more processors communicatively coupled to the interface;
• and
• a non-transitory storage medium communicatively coupled to the one or more processors, the non-transitory storage medium is adapted to store task generation logic that includes prompt generation logic, model context protocol (MCP) layer logic, and AI agent logic, and
• wherein the prompt generation logic is adapted to receive (i) content associated with a task including one or more requirements that identify expectations and characteristics of a software product under development and acceptance criteria including one or more conditions or rules directed to functionality or features of the software product and produce a prompt and (ii) produce a prompt provided as input data to submission analytics logic for analysis and rating of the content associated with the task to generate of feedback results that provide suggestions for modification of the content associated with the task, and
• wherein the MCP layer logic is configured to control the AI agent logic to collect context information associated with one or more related tasks, each related task corresponding to a prior task handled by the task generation logic.

An endpoint device comprising:

• an interface;
• one or more processors communicatively coupled to the interface;
• and
• a non-transitory storage medium communicatively coupled to the one or more processors, the non-transitory storage medium is adapted to store task generation logic that includes prompt generation logic, parsing logic, and criteria selection logic,
• wherein the prompt generation logic is adapted to (a) receive content associated with a task, including (i) one or more requirements that identify expectations and characteristics of a software product under development, from the parsing logic and (ii) acceptance criteria including one or more conditions or rules directed to functionality or features of the software product and produce a prompt and (b) produce a prompt provided as input data to an artificial intelligence (AI) module for analysis and rating of the content associated with the task to generate of feedback results that provide suggestions for modification of the content associated with the task.