I keep running into the same issue in almost every API project I work on:
👉 The API works 👉 The tests pass 👉 But the documentation is already outdated
And the bigger the system gets (microservices, multiple teams, AI endpoints), the worse it becomes.
I’ve tried a few common setups:
Swagger/OpenAPI for schema-first design
Postman for testing workflows
Separate tools for docs + collaboration
They all work individually, but the problem is they don’t really stay in sync together.
That’s why I started looking again at what people consider the best API documentation tools today—not just for generating docs, but for keeping the whole API lifecycle consistent.
One tool I’ve recently been exploring is Apidog, mainly because it tries to unify:
API design
Testing
Documentation
Collaboration
The interesting part is not the docs themselves, but the idea of single-source sync across the whole API workflow, so updates don’t get lost between tools.
I’m curious:
What’s your current approach to keeping API documentation reliable in production?
Do you think the real issue is the tools we use—or how we structure the workflow?
Kelley Ottawa
I partly agree with the point, but I think it’s not only an tooling issue even with unified platforms, if the team process isn’t well defined, drift can still happen. That said, tools that combine design, testing, and documentation can definitely reduce the problem