Designing Scalable Multi-Agent AI Systems: Leveraging Domain-Driven Design and Event Storming

International Journal of Computer Science and Engineering

© 2025 by SSRG - IJCSE Journal

Volume 12 Issue 3

Year of Publication : 2025

Authors : Kunal Nandi, Kaustav Dey

10.14445/23488387/IJCSE-V12I3P102

How to Cite?

Kunal Nandi, Kaustav Dey, "Designing Scalable Multi-Agent AI Systems: Leveraging Domain-Driven Design and Event Storming," SSRG International Journal of Computer Science and Engineering , vol. 12,  no. 3, pp. 10-16, 2025. Crossref, https://doi.org/10.14445/23488387/IJCSE-V12I3P102

Abstract:

Multi-Agent AI Systems (MAS) are increasingly used to tackle complex real-world problems. By 2025, 82% of organizations plan to integrate AI agents (1), with 25% already deploying them (2). This paper explores how combining Event Storming and Domain-Driven Design (DDD) provides a structured approach to designing effective MAS. The integration of these methodologies enhances scalability, robustness, and domain alignment. We demonstrate this approach using a supply chain management case study and discuss best practices for scaling and optimizing MAS.

Keywords:

Bounded contexts, Domain-Driven Design, Event storming, Multi-Agent Systems, Agent based modelling.

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