Report this

What is the reason for this report?

What API collaboration tool is your team using in 2026?

Posted on June 29, 2026

As our team grows, we’re finding that API collaboration is becoming just as important as API testing.

We’re looking for a platform that can help with:

  • OpenAPI-based collaboration
  • Shared API documentation
  • Design reviews and version control
  • API testing in the same workflow
  • CI/CD integration

For teams working on multiple APIs, what tool are you using today?

What made you choose it, and has it scaled well as your team grew?



This textbox defaults to using Markdown to format your answer.

You can type !ref in this text area to quickly search our full set of tutorials, documentation & marketplace offerings and insert the link!

These answers are provided by our Community. If you find them useful, show some love by clicking the heart. If you run into issues leave a comment, or add your own answer to help others.

We’ve mostly been using Postman. It handles shared collections, API testing, documentation, and OpenAPI import/export well enough for our team.

One thing we’ve found useful is keeping the OpenAPI spec in Git as the source of truth, then using Postman for collaboration and testing rather than editing everything directly in the platform.

I haven’t used it extensively, but Stoplight and SwaggerHub also seem to get recommended a lot for teams that follow a design first approach.

Heya,

+1 to what @alexdo said about keeping the OpenAPI spec in Git as the source of truth. That one decision matters more than the tool you pick on top of it. Once the spec lives in your repo, design reviews and version control come for free — it goes through the same PRs and CI as your code. The platform becomes a view on the spec, not the owner of it.

Here’s how I’d split your list:

  • Design reviews + versioning → Git. Spec as YAML, changes via PR. Add Spectral in CI to lint style and catch breaking changes.
  • Docs → generate them from the spec (Redocly or Stoplight). Auto-generated docs stay in sync; hand-written ones always end up lying.
  • Testing in-workflow → Postman’s fine, but if you want it in CI look at Schemathesis or Dredd — they test your live API against the spec, so drift gets caught on every push.
  • CI/CD → falls out naturally once the spec is in Git: lint, generate docs, contract-test as pipeline steps.

On design-first tools — Stoplight is nice if your team prefers a visual editor over hand-editing YAML, SwaggerHub works but leans heavier/enterprise. I’d only reach for either once editing specs by hand actually hurts.

Has it scaled for me? Yeah — because it scales the same way the codebase does. The moment your API contract lives outside your normal dev workflow is the moment it starts drifting.

How many APIs are you juggling? The answer shifts a bit at 3 vs. 30.

Hi there,

Postman is still the most common answer for teams that want everything in one place: docs, testing, collaboration, and CI/CD via Newman. It scales reasonably well but the free tier has gotten more restrictive over the years.

Redocly is worth a look if you are OpenAPI-first and care about docs quality. The review and versioning workflow around spec files is solid and it integrates well into Git-based pipelines.

Scalar is gaining traction fast as an open source alternative, clean UI, good OpenAPI support, and you can self-host it if you do not want another SaaS dependency.

Bruno is worth mentioning for teams that want a Postman alternative where collections live in Git as plain files rather than locked in a proprietary format. Works well in CI/CD and has been growing quickly.

If your team is already on DigitalOcean, hosting your own docs with something like Scalar or Redoc on App Platform is straightforward and keeps everything under one billing account.

The developer cloud

Scale up as you grow — whether you're running one virtual machine or ten thousand.

Start building today

From GPU-powered inference and Kubernetes to managed databases and storage, get everything you need to build, scale, and deploy intelligent applications.