🔗 Designing APIs for agents

Good design for agents is not the same as good design for humans. As the landscape of API consumption evolves, particularly with the rise of AI agents, this article sheds light on how APIs need to be structured to cater to these agents rather than human users. While traditional API design focuses on making interfaces intuitive for people, it’s increasingly essential to create APIs that provide clarity and explicitness for agents that operate on automated scripts. This perspective challenges common assumptions about defaults and error handling, insisting that agents can and should deal with the specifics directly to avoid confusion and bugs. By prioritizing clear function definitions and documentations, the article argues, API designers can foster better debugging experiences and greater reliability in AI-driven applications. Moreover, the insights apply to various programming contexts, from TypeScript to Python, offering a fresh lens through which to rethink API development.