🚀 From Manual API Testing(PlantoPlan) to AI-Powered Automation with Keploy

Shubham Sahoo — Fri, 27 Jun 2025 23:48:57 +0000

When building APIs for my project PlantoPlan, I quickly learned that writing and maintaining tests manually can be a chore. Each time I added a new route, I had to open Postman, craft a request, capture the response, and then figure out how to write assertions. For a while, this felt like the only way to ensure my endpoints behaved correctly.

But recently, I decided to explore AI-powered API testing, and I discovered Keploy. In just a few hours, I went from almost no coverage to fully automated, repeatable tests that could run in CI/CD.

🎯 The Challenges of Manual API Testing
Before Keploy, my testing workflow looked like this:

Manually creating cURL commands in Postman.

Saving example responses as references.

Updating tests every time the API evolved.

Spending time on repetitive edge cases just to keep coverage high.

This process was time-consuming and often left gaps—especially when deadlines were tight.

⚡ My Experience with Keploy
Setting up Keploy was straightforward:

✅ I installed the CLI and the Chrome Extension.
✅ I started recording real API interactions as I used the app.
✅ Keploy instantly generated test cases that captured both the request and the expected response.

What really surprised me was how quickly I could achieve 100% coverage. I didn’t have to write a single assertion by hand. Instead, Keploy replayed the exact flows I recorded and validated my API responses automatically.

🛠️ Integrating with CI/CD
One of my goals was to make sure every code change gets tested automatically. Keploy’s integration with GitHub Actions made this simple:

I added a workflow YAML file.

I configured the Keploy API key and App ID.

Now, whenever I push code, my API tests run automatically in CI.

Seeing a green checkmark after each push is incredibly satisfying—and gives me confidence nothing broke.

✨ First Impressions and What Excites Me
Moving from manual testing to AI-generated tests feels like stepping into the future. A few highlights for me:

Speed: What used to take hours now takes minutes.

Accuracy: No more missing edge cases.

Maintainability: As my API evolves, I can re-record tests easily.

It’s exciting to think about how AI is transforming software quality. Instead of spending time on repetitive tasks, I can focus more on designing better features.

🙌 Final Thoughts
If you’re tired of brittle, manual API tests, I highly recommend trying Keploy. It’s a game changer—especially if you want to integrate testing seamlessly into your workflow.

If you’ve experimented with AI-based API testing yourself, I’d love to hear your thoughts!

✅ #API #Testing #AI #DevTools #Productivity

DEV Community: Shubham Sahoo

🚀 From Manual API Testing(PlantoPlan) to AI-Powered Automation with Keploy