Toward self-coding information systems
Rodrigo Falcão, Frank Elberzhager, Karthik Vaidhyanathan
TL;DR
Self-coding information systems will be able to dynamically adapt their structure or behavior by evaluating potential adaptation decisions, generate source code, test, and deploy their source code autonomously, at runtime, reducing the time to market of new features.
Abstract
In this extended abstract, we propose a novel research topic in the field of agentic AI, which we refer to as self-coding information systems. These systems will be able to dynamically adapt their structure or behavior by evaluating potential adaptation decisions, generate source code, test, and (re)deploy their source code autonomously, at runtime, reducing the time to market of new features. Here we motivate the topic, provide a formal definition of self-coding information systems, discuss some expected impacts of the new technology, and indicate potential research directions.