Symbio Coding: An Educational Testbed for AI Agent Simulation as Software Development Team Member

This paper presents an educational simulation model for integrating AI agents into software development teams. The model is proposed for use by master's students in IT project management courses to study the effectiveness of this type of AI application, which the authors call “symbio coding”. By reviewing the existing literature, we identify a research gap in understanding the practical implementation and impact of AI agents in traditional and agile software development methodologies. We propose a simulation model of an organizational structure for integrating AI into the software development process (Waterfall and Agile), describing potential roles, benefits, and challenges. Finally, we propose a simulation experiment to evaluate the effectiveness of this approach, focusing on assessing the reduction in development time due to the use of AI agents.

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Publication Details

Published
2025-04-18
DOI
https://doi.org/10.1109/iciet66371.2025.11045965
Primary Topic
Multi-Agent Systems and Negotiation
Type
article
Field-Weighted Citation Impact
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article

Symbio Coding: An Educational Testbed for AI Agent Simulation as Software Development Team Member

Mihails Savrasovs, Nadežda Spiridovska, Boriss Mišņevs
Multi-Agent Systems and Negotiation
article

Symbio Coding: An Educational Testbed for AI Agent Simulation as Software Development Team Member

Mihails Savrasovs, Nadežda Spiridovska, Boriss Mišņevs
article en

Abstract

This paper presents an educational simulation model for integrating AI agents into software development teams. The model is proposed for use by master's students in IT project management courses to study the effectiveness of this type of AI application, which the authors call “symbio coding”. By reviewing the existing literature, we identify a research gap in understanding the practical implementation and impact of AI agents in traditional and agile software development methodologies. We propose a simulation model of an organizational structure for integrating AI into the software development process (Waterfall and Agile), describing potential roles, benefits, and challenges. Finally, we propose a simulation experiment to evaluate the effectiveness of this approach, focusing on assessing the reduction in development time due to the use of AI agents.

Transport and Telecommunication Institute (LV)
Openalex Percentile: Top 93%
Multi-Agent Systems and Negotiation
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