Towards autonomous normative multi-agent systems for Human-AI software engineering teams

• URL: http://arxiv.org/abs/2512.02329v1
• Date: Tue, 02 Dec 2025 01:57:17 GMT
• Title: Towards autonomous normative multi-agent systems for Human-AI software engineering teams
• Authors: Hoa Khanh Dam, Geeta Mahala, Rashina Hoda, Xi Zheng, Cristina Conati,
• Abstract summary: We introduce a new class of software engineering agents equipped with beliefs, desires, intentions, and memory to enable human-like reasoning.<n>These agents collaborate with humans and other agents to design, implement, test, and deploy software systems with a level of speed, reliability, and adaptability far beyond the current software development processes.
• Score: 12.30011041819647
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This paper envisions a transformative paradigm in software engineering, where Artificial Intelligence, embodied in fully autonomous agents, becomes the primary driver of the core software development activities. We introduce a new class of software engineering agents, empowered by Large Language Models and equipped with beliefs, desires, intentions, and memory to enable human-like reasoning. These agents collaborate with humans and other agents to design, implement, test, and deploy software systems with a level of speed, reliability, and adaptability far beyond the current software development processes. Their coordination and collaboration are governed by norms expressed as deontic modalities - commitments, obligations, prohibitions and permissions - that regulate interactions and ensure regulatory compliance. These innovations establish a scalable, transparent and trustworthy framework for future Human-AI software engineering teams.

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