Agent-Native Infrastructure: APIs, Interfaces, and Authorization

This article explores the different ways AI agents interact with software, comparing the trade-offs between API, GUI, and CLI interfaces in terms of reliability, speed, and versatility. It argues that instead of forcing agents to use human-centric designs, developers should build "agent-native" infrastructure, such as redesigned semantic APIs that use multi-phase reasoning loops to prevent errors like hallucinations. Ultimately, the text suggests that the future of agentic workflows lies in a convergence of these modalities to better handle complex, long-horizon tasks.