Agentic system design is undergoing a shift, according to a new arXiv paper. The abstract argues that the field is moving away from hand-crafted prompts and workflows toward automated search over agentic programs and interaction structures, with multi-agent systems receiving increasing attention.
Titled "Automated Multi-Agent Organization Design: From Architecture Search to Organizational Learning," the paper frames organizational learning as the direction beyond architecture search. The abstract's opening suggests that a central issue in this area remains unresolved, though the provided text cuts off before giving details.
The paper is listed as new on arXiv under identifier 2610.27531. Because only the abstract was available for this digest, the full method and findings are not covered here.