Hey everyone,
Lately I’ve been spending more time building small AI apps and testing different inference endpoints from Hugging Face, and it made me rethink my API workflow a bit.
I originally used Bruno because it’s lightweight, local-first, and easy to keep in Git. A lot of developers still seem to like it for that exact reason.
But once I started juggling:
-
multiple model endpoints
-
auth tokens
-
mock APIs
-
shared collections
-
generated docs
it became harder to manage everything cleanly across projects.
Recently I tested Apidog and what I found useful was having API testing, docs, mocking, and OpenAPI management together instead of stitching multiple tools together manually. There are already a few discussions around combining AI tooling with API workflows too.
Not trying to start a “best tool” debate honestly — just curious what people here are using nowadays for AI/API-heavy projects:
-
Bruno
-
Apidog
-
Postman
-
Hoppscotch
-
Insomnia
-
custom scripts
Especially interested in workflows that work well with rapid experimentation around model APIs.