Year: 2026
Type: preprint
Abstract: Agentic AI is substantially shortening the timescale at which development context (e.g., goals, evidence, uncertainty, and risk) evolves. However, human-agent organization across development tasks is typically treated as fixed, which is problematic because development configurations may become suboptimal as the development context changes. We propose viewing software development as a self-adaptive socio-technical system in which both the software project and the development configuration (participants, responsibilities, authority, information, and verification) adapt as the development context evolves. This yields two coupled forms of adaptation: evolving the software and reconfiguring how subsequent engineering is performed. We illustrate the idea with a proof of concept, outlining challenges and future plans.
Source: arXiv (Cornell University)
Author: Cámara, Javier
Institution: Universidad de Málaga
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7213293501
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