Modular AI Agents: A Scalable Approach to Complex Business Systems
Published:Jan 14, 2026 18:00
•1 min read
•Zenn AI
Analysis
The article highlights a critical challenge in scaling AI agent implementations: the increasing complexity of single-agent designs. By advocating for a microservices-like architecture, it suggests a pathway to better manageability, promoting maintainability and enabling easier collaboration between business and technical stakeholders. This modular approach is essential for long-term AI system development.
Key Takeaways
- •Single AI agent designs become unwieldy as systems grow, hindering maintainability.
- •Organizational structure, and differing perspectives, complicate AI agent behavior management.
- •The article suggests a microservices-like architecture to overcome these scalability issues.
Reference
“This problem includes not only technical complexity but also organizational issues such as 'who manages the knowledge and how far they are responsible.'”