System and method for delivering autonomous advice and guidance

A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computing device to cause the computing device to:

• receive input from a user of a development tool describing a mobile app;
• determine an intent of the user based on natural language processing of the input;
• automatically perform an action in the development tool on the mobile app based on the determined intent of the user, wherein the action is a repetitive action;
• provide a visual representation of the action that was performed in the development tool;
• receive feedback from the user regarding the action that was performed in the development tool;
• automatically perform an additional action in the development tool on the mobile app based on the feedback from the user;
• trigger a recommendation tool a first time the action is performed in the development tool;
• trigger the recommendation tool a second time the action is performed in the development tool;
• and
• make a recommendation to the user based on an analysis of the action triggered in the recommendation tool the first and second times to recommend a different action being performed in the development tool which different action is a less repetitive action compared to the action.

A system comprising:

• a development tool stored in a computer memory;
• an event processor module, stored in the computer memory, comprising an event queue manager and event analytics engine;
• and
• a recommendation module stored in the computer memory,
• wherein:
• the event queue manager continuously monitors an event stream comprising user actions performed within the development tool and provides event information in a structured object notation to the event analytics engine;
• the event analytics engine determines that a user is performing an action in the development tool using the event information;
• the recommendation module determines an intent of the user based on cognitive analysis of the action;
• the event queue manager raises, a first time, a first event from the development tool and triggers, the first time, the first event to the recommendation module;
• the event queue manager raises, a second time, the first event from the development tool and triggers, the second time, the first event to the recommendation module;
• the recommendation module determines a different approach that satisfies the intent of the user based on an analysis of the first event, as sequentially triggered the first and second times to the recommendation module;
• and
• the recommendation module provides a recommendation of the different approach to the user.