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The Transformation of Autonomous AI Agents from Tool to Teammate in Software Systems
Citation. Aydın, Ö., Karaarslan, E., & Selim, A. (2026). The Transformation of Autonomous AI Agents from Tool to Teammate in Software Systems. In Agentic AI in the Age of Autonomy with Concepts and Case Studies (pp. 66–78). Izmir Academy Association. https://doi.org/10.5281/zenodo.21461214
Summary. This conceptual book chapter distinguishes autonomous AI agents from stateless API calls, conversational chatbots, and fixed workflow automation by their persistent context, dynamic planning, tool use, and goal-oriented execution. It presents a six-layer agentic stack covering perception, memory, reasoning and planning, action, orchestration, and governance, illustrated by a proposed Software Quality Companion for software-quality work. The chapter argues that increasing autonomy requires permissions, approval gates, logging, monitoring, and evaluation controls to keep software-agent operation reliable and accountable.
Key claims
- Autonomous agents differ from conversational interfaces and static automation through persistent contextual memory, iterative goal decomposition, dynamic tool selection, and action execution.
- The proposed agentic stack separates perception, memory, reasoning and planning, action, orchestration, and governance as operational layers for software-system design.
- A multi-agent Software Quality Companion can coordinate code review, test-suite generation, architectural-consistency checks, and technical-debt monitoring as a reference design rather than reported empirical evidence.
- Expanded agent autonomy increases risks from unintended tool side effects, incorrect assumptions, security vulnerabilities, and coordination failures, motivating least-privilege access, approval gates, structured logs, monitoring, red teaming, and evaluation criteria.
Evidence & limitations
- This is a conceptual literature-synthesis book chapter with a proposed reference architecture; it reports no empirical dataset, participant study, or comparative evaluation of the framework.
- The Zenodo record is openly available under CC BY 4.0 and identifies the item as a 2026 book chapter; it is not presented as a peer-reviewed journal or conference article.
- The chapter focuses on technical software-agent architecture and implementation, so any organizational or work-design relevance requires owner review before synthesis.