Training a support bot with source code

A system comprising:

• at least one hardware processor;
• and
• software that is configured to, when executed by the at least one hardware processor,
• during a training phase, train an artificial intelligence (AI) model on a training dataset, wherein the training dataset comprises source code for one or more source objects of a software application, wherein at least one of the one or more source objects implements an AI-supporting interface, and wherein the training detects when any of the one or more source objects implements the AI-supporting interface,
• deploy the trained AI model in a support bot for the software application, and
• during an operating phase,
• receive one or more user requests, related to the software application, via a chat interface, and
• for each of the one or more user requests,
• input the user request to the AI model to produce a response from the AI model, wherein the response is based on an output of one or more functions of the AI-supporting interface of the at least one source object, and
• output the response via the chat interface.

A non-transitory computer-readable medium having instructions stored therein, wherein the instructions, when executed by a processor, cause the processor to:

• during a training phase, train an artificial intelligence (AI) model on a training dataset, wherein the training dataset comprises source code for one or more source objects of a software application, wherein at least one of the one or more source objects implements an AI-supporting interface, and wherein the training detects when any of the one or more source objects implements the AI-supporting interface;
• deploy the trained AI model in a support bot for the software application;
• and
• during an operating phase,
• receive one or more user requests, related to the software application, via a chat interface, and
• for each of the one or more user requests,
• input the user request to the AI model to produce a response from the AI model, wherein the response is based on an output of one or more functions of the AI-supporting interface of the at least one source object, and
• output the response via the chat interface.