# Rethinking Software Development as a Self-Adaptive Socio-Technical System

arXiv: https://arxiv.org/abs/2609.13461 · HTML: https://mlsanity.com/paper/2609.13461/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Placed in Software engineering coding agents, one of 16 directions in LLM agents and tool use.
- First posted on arXiv 11 Sep 2026.

## Placed in

- LLM agents and tool use / [Software engineering coding agents](https://mlsanity.com/agents/software-engineering-coding-agents/)

## Abstract (arXiv)

Agentic AI is expanding across various software engineering activities, yet human-agent organization is typically treated as fixed, which is problematic because development configurations may become suboptimal as development context evolves. 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 goals, evidence, uncertainty, and risk evolve. 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.