u/ItchyContribution782

I've been using Postman since 2016. Back then it was fast, lightweight, and free perfect for testing APIs quickly.

Now? It's a 400MB Electron app that takes 30 seconds to load, pushes everything to the cloud whether you want it to or not, paywalls features that used to be free, and has pivoted so hard into being an "API platform" that the core testing experience has actually gotten worse.

The free tier keeps shrinking. The pricing keeps climbing. And every update feels like it's adding enterprise features nobody asked for instead of fixing the basics.

What killed me was realising I was spending more time maintaining my Postman collections than actually testing anything.

Am I missing something? Is there a way to use it that doesn't feel like fighting the tool? Or has everyone quietly moved on to something else?

I've been talking to a lot of QA engineers over the past year and there's a pattern I keep hearing:

"We caught it in staging, two days before release."

"The backend changed the response schema and nobody told us."

"We had 95% UI test coverage and still shipped a broken API."

The frustrating part is none of these are skill problems. They're timing problems.

API contracts change all the time — new fields, deprecated keys, changed status codes. But most teams only validate APIs at the end of the pipeline, when every bug fix means reruns, blocked deployments, and engineers pulled out of new work.

The math is brutal. A bug caught during development costs maybe 1x to fix. The same bug caught in staging costs 10x. In production? 100x. That's not a made-up ratio — it's been documented in study after study going back to Capers Jones and Barry Boehm.

So why do so many teams still test APIs late?

From what I've seen, it usually comes down to one of three things:

1. API tests are hard to write and maintain by hand, so they're deprioritized

2. There's no good way to auto-generate tests from an OpenAPI/Swagger spec, so coverage stays low

3. Developers don't see testing as their job, so it stays in QA's lane — which is always the last lane

I'm genuinely curious what others are seeing. Is shift left API testing working at your org? What's the actual blocker — tooling, culture, time, something else?

Hey everyone,

I’ve been working closely on API testing workflows recently, and one thing I keep noticing is how different teams struggle with very similar problems—but solve them in completely different ways.

Some of the common challenges I’ve seen:

• Keeping test cases updated when APIs change frequently
• The effort required to write and maintain automation scripts
• Dependency on dev teams for specs or updates
• Regression suites breaking for small changes

In our case, we’ve been trying to reduce the time spent on creating and maintaining API tests, especially when working with OpenAPI specs—but it’s still a work in progress.

Curious to know—
👉 What’s the biggest bottleneck in API testing for your team right now?
👉 And how are you currently handling it?

Would love to hear different approaches.