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Isha Raj
Isha Raj

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Automating API Testing with Keploy because Writing 100 Test Cases by Hand is Fun (Said No One Ever)

I built a Go-based User Profile API Server. It handles user creation, image uploads, PDF generation — pretty standard stuff. Naturally, I needed to test it.

Now, I could’ve written detailed unit tests, mocked the database, and checked API responses manually. But let's be real, nobody enjoys writing the same curl commands over and over just to simulate user behavior.

What I Was Doing Before
I used to:

Run the server with go run main.go

Fire some curl requests

Hope the responses were correct

Forget what I was testing halfway through

Debug, repeat, cry

It technically worked, but it was far from efficient.

Then I Tried Keploy
I recorded my API traffic and Keploy captured the traffic, request and response pairs, and auto-generated actual test cases. Not placeholders. Actual tests.

Keploy replayed the API calls, validated the responses, and gave me a clean test report. No mocks. No manual writing. No guesswork.

And Then I Discovered the Chrome Extension
As if that wasn’t enough Keploy also has a Chrome extension. It literally captures your API calls as you interact with your frontend or Swagger UI. You don’t even need to touch Postman or curl.

Click around in the browser like a normal human being, and Keploy logs the requests for you. It’s like turning your mouse clicks into reproducible tests, without the clipboard full of curl commands.

Honestly, if this existed earlier, I would've saved myself from about 27 tabs of "how to write API tests in Go."

Bonus: It Also

Tracks proper test coverage

Runs easily inside GitHub Actions (yes, I added it to CI/CD too)

Final Thoughts
We all know testing is important. But doing it the hard way isn’t a flex. Keploy saved me hours, helped me avoid pushing untested code, and finally gave my API some structure.

Would I recommend it? If you like working smart, absolutely. If you enjoy debugging at 3 a.m. with no test logs, then maybe not.

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