Abstract: A method is provided including, receiving, at an API server, a natural language string and a context filter defined by automatically generated information about a terminal; selecting, at the API server, one or more domain knowledge files based on the natural language string and the context filter; transmitting, from the API server to a backend server having artificial intelligence capabilities, the one or more domain knowledge files, the natural language string, and the context filter; generating, at the backend server via AI processing, one or more of: one or more macros or one or more strings, based on the one or more domain knowledge files, the natural language string, and the context filter; and receiving, at the API server from the backend server, the one or more of: one or more macros or one or more strings. A system and computer-readable medium are also included.

Abstract: A method comprising, transmitting, from an API server to a backend server, one or more domain knowledge files; receiving, at the API server, a natural language input; transmitting the natural language input from the API server to the backend server; receiving, at the API server, a one or more snippets of executable code, one or more comments, or one or more values. A system and computer-readable medium are also disclosed.

Abstract: An arrangement is described for programming and debugging a microcontroller embedded into a system using a WiFi connection between the system and a host PC, rather than a wired connection. An optional additional monitor system collects event-driven data from the system which is compared to MCU code execution events to provide debugging information without interrupting the microcontroller.