Is It Time to Look Beyond Postman for AI/ML API Workflows?

A developer questions whether Postman remains sufficient for AI/ML API workflows, suggesting Apidog as an all-in-one alternative that integrates design, testing, documentation, and collaboration. The post invites community feedback on tool choices for AI/ML APIs.

Postman has been a solid choice for API development and testing for a long time. But as AI/ML projects become more complex, I’ve started wondering whether a traditional API client is still enough. For AI and inference APIs, we often need to: That’s what led me to look at Apidog as a possible Postman alternative . What I find interesting is that it brings API design, testing, documentation, and collaboration together instead of requiring several separate tools. I’m curious how other teams here are handling this. Are you still using Postman for your AI/ML APIs? If you switched, what made you move away from it? Do you prefer specialized tools or an all-in-one API platform?