AI and API Development - 89% of developers use AI daily, but only 24% design APIs with AI agents in mind [2] - Every website and API must be "Agent-ready" to cater to AI agents [1][2] - APIs must be well-documented for AI agents to easily learn and use them, including endpoint discovery, parameter passing, data expectations, and error recovery [3] - Friction, inconsistency, and potential errors are introduced when agents have to infer how an API works [5] Postman's Solution - Postman's Agent Mode automatically generates detailed, contextual, and machine-readable documentation for APIs based on request/response examples and usage patterns [4] - Postman's AI-powered platform allows exploring, debugging, and building APIs using natural language [4] - Postman facilitates the design, documentation, publishing, and monitoring of APIs that can be reliably used by both humans and agents [8] Future Implications - Agents will increasingly handle tasks such as making purchases, finding the best options, and filling out job applications [6] - APIs should have predictable structures, machine-readable metadata, and standardized behavior to be effectively used by agents [7]

AI-Ready API Importance - The industry emphasizes the growing need for "Agent-ready" APIs as every website transitions to this paradigm [1][2] - APIs must be well-documented for Agents to easily understand endpoints, parameters, data expectations, and error recovery [3] - Agents should not have to guess how an API works to avoid friction, inconsistency, and potential errors [5] AI Adoption and API Design - 89% of developers use AI daily, but only 24% design APIs with AI agents in mind, highlighting a significant gap [2] - Addressing this gap is crucial because Agents cannot navigate poorly documented or broken endpoints like human developers can [2] Postman's Solution - Postman's Agent Mode automatically generates detailed, contextual documentation for APIs based on request/response examples and usage patterns [4] - Postman's AI-powered platform allows users to explore, debug, and build APIs using natural language [4] - Postman facilitates the design, documentation, publishing, and monitoring of APIs that are reliably usable by both humans and agents [5] Future Implications - Agents will increasingly handle tasks such as making purchases, finding the best options, and filling out job applications [6] - Predictable structures, machine-readable metadata, and standardized behavior are essential for AI-ready APIs [7]

AI and API Development - The industry is entering an era where every website and API must be "Agent-ready" [1][2] - 89% of developers use AI daily, but only 24% design APIs with AI agents in mind [2] - APIs must be well-documented for Agents to easily learn about them, including endpoints, parameters, data, and error recovery [3] Postman's Solution - Postman's AI-ready APIs Playbook emphasizes the importance of machine-readable documentation that stays in sync with the schema [2] - Postman's Agent Mode automatically generates detailed, contextual documentation for APIs based on request/response examples and usage patterns [4] - Postman's platform allows for designing, documenting, publishing, and monitoring APIs that both humans and agents can use reliably [5] Future Implications - Agents will increasingly make purchases, find the best options, and fill out job applications, replacing human roles [6] - Predictable structures, machine-readable metadata, and standardized behavior are crucial for AI-ready APIs [7] - Agents using APIs should not be guessing; everything should be documented for both humans and machines [5]