Making Sense of AI Agents Hype: Adoption, Architectures, and Takeaways From Practitioners

IEEE Software 2026 Open access

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Authors: Ruoyu Su, Matteo Esposito, Roberta Capuano, Rafiullah Omar, June Sallou, Henry Muccini, Davide Taibi
DOI: 10.1109/ms.2026.3680431
Cited by: 1
References: 11

Abstract

To support practitioners in understanding howagentic systemsare designed in real-world industrial practice, we present a review of practitioner conference talks on AI agents. We analyzed 138 recorded talks to examine how companies adopt agent-based architectures (Objective 1), identify recurring architectural strategies and patterns (Objective 2), and analyze application domains and technologies used to implement and operate LLM-driven agentic systems (Objective 3).

Fields of Study & Subjects

Ethics and Social Impacts of AI AI in Service Interactions AI-based Problem Solving and Planning

Publication details

Journal / source
IEEE Software
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
43
Issue
5
Pages
38–47
Publication date
6 April 2026
Language
EN