Toward Agentic Software Project Management: A Vision and Roadmap

2026-01-23

AI Summary

Traditional software project management struggles to address the emerging paradigm of AI-driven Software Engineering 3.0, particularly in human-AI collaboration and the establishment of ethical and accountability mechanisms. This work proposes an “agentive project management” framework, introducing the novel concept of an “agentive project manager” and designing four autonomous operational modes that dynamically balance automation and human oversight. It redefines the human role as a strategic leader and AI agent coach. Built upon a multi-agent system architecture, the framework integrates tunable autonomy, autonomous decision-making, and human-agent collaboration to enable dynamic task adaptation and traceable accountability. This study lays a theoretical foundation for project management in the SE 3.0 era and outlines a systematic research roadmap to advance paradigm evolution and community development.

Technology Category

• Cognitive Modeling & Cognitive Systems: Agent Architectures
• Multiagent Systems: Agent/AI Theories and Architectures
• Humans and AI: Planning and Decision Support for Human-Machine Teams

Application Category

• Responsible Web: Machine-in-the-loop, human agency and autonomy
• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions
• User Modeling, Personalization and Recommendation: Accountability, Transparency, and Ethics for personalization

Abstract

With the advent of agentic AI, Software Engineering is transforming to a new era dubbed Software Engineering 3.0. Software project management (SPM) must also evolve with such transformations to boost successful project completion, while keeping humans at the heart of it. Building on our preliminary ideas of"agentic SPM", and supporting literature, we present our vision of an"Agentic Project Manager (PM)"as a multi-agent system for SPM 3.0. They will work like a"junior project manager", or an"intern project manager"collaboratively with software teams. We introduce four working modes, with varying autonomy levels to choose from, based on the SPM task. This addresses concerns with ethics, accountability, and trust related to agentic PMs. We also share insights on human PM role evolution and new skill requirements as a"strategic leader"and a"coach"for humans and agents. While creating the foundation for agentic SPM research, we present a research agenda for the wider research community.

Problem

• Agentic AI
• Software Project Management
• Software Engineering 3.0
• Human-AI Collaboration
• Project Management Ethics

Innovation

• Agentic AI
• Software Project Management
• Multi-agent System
• Autonomy Levels
• Human-AI Collaboration