Most of us spent our careers building deterministic pipelines: Request -> Auth -> Logic -> Database -> Response. However, with the rise of AI Agents that can "reason" and call tools (Function Calling), the way we structure our backends is changing. We are moving from rigid API flows to dynamic, agentic workflows where the LLM decides which microservice to hit next. The Architectural Shift: In my recent projects involving Ruby and Go, I’ve started thinking: instead of building an API for a frontend, should we be building APIs specifically for AI Agents? This means: Stricter OpenAPI specs: If the AI doesn't understand your schema, the system fails. Resilience is key: A Go-Gateway with aggressive rate-limiting is more important than ever when an AI agent can trigger 1,000 requests in a loop by mistake. State Management: How do we track state when the execution path is no longer hardcoded? The Question for the Community: Are you already designing "Agent-friendly" APIs?…