A growing trend in AI development involves separating core infrastructure components from individual AI agent frameworks. This architectural shift, highlighted in a recent Reddit discussion, focuses on functionalities like agent routing, LLM cost management, and protocol handling. By abstracting these elements into dedicated infrastructure, organizations can achieve independent evolution of agent behavior and underlying support systems. This decoupling fosters greater scalability, maintainability, and, critically, centralized governance across all AI agents within an organization. T-Mobile’s implementation of an AI-native proxy server exemplifies this approach, enabling language-agnostic agent development and significantly enhancing development robustness and control. The original discussion can be found on Reddit: [https://old.reddit.com/r/artificial/comments/1kx9709/moving_the_lowlevel_plumbing_work_in_ai_to/]