{"ID":2833769,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2512.02329","arxiv_id":"2512.02329","title":"Towards autonomous normative multi-agent systems for Human-AI software engineering teams","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.","short_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 wit...","url_abs":"https://arxiv.org/abs/2512.02329","url_pdf":"https://arxiv.org/pdf/2512.02329v1","authors":"[\"Hoa Khanh Dam\",\"Geeta Mahala\",\"Rashina Hoda\",\"Xi Zheng\",\"Cristina Conati\"]","published":"2025-12-02T01:57:17Z","proceeding":"cs.SE","tasks":"[\"cs.SE\"]","methods":"[\"Language Model\"]","has_code":false}