As a backend developer, I’ve always known how critical API testing is. It's the safety net that keeps your endpoints reliable, your integrations stable, and your team confident in shipping code.
But let’s be honest—manual API testing?
It’s often tedious, time-consuming, and repetitive. Writing tests, designing payloads, and covering edge cases by hand takes the joy out of development.
That was my life... until I discovered Keploy.
The Struggles Before Keploy
Before Keploy came into the picture, I was building a Book Management API. And every time I added a new endpoint, here’s what I had to do:
1) Manually write JSON payloads
2) Write test cases using Jest or Supertest
3) Mock database responses
4) Think through (and often miss) edge cases
5) Run everything, fix what broke, rewrite tests... repeat
Each new feature cost me 30 to 60 minutes of testing effort.
And because of that, I’ll admit it—I sometimes skipped writing tests altogether.
Enter Keploy: AI Meets API Testing
During the Keploy API Testing Fellowship, I finally gave this tool a try. And honestly?
It blew me away.
My first impressions:
✅ Easy Chrome Extension setup
✅ Instantly records API calls
✅ Generates tests automatically from curl requests
I followed just a few simple steps:
1) Started the Keploy Agent
2) Uploaded my OpenAPI schema
3) Sent a few sample API requests
4) Watched Keploy auto-generate test suites within minutes
I went from zero to full test coverage in less than 10 minutes.
Real-World Testing with Keploy Extension
To push it further, I used Keploy's Chrome Extension to test live APIs from:
1) OpenWeatherMap
2) Reqres.in
What I loved:
1) It recorded real requests and responses live
2) Transformed them into complete test cases
3) Let me reuse and automate them in my workflow
It was like combining Postman, AI, and CI automation into one smooth process.
What Excited Me the Most
Here’s what stood out:
1)Time saved: What used to take hours now takes minutes
2)Human error reduced: Keploy caught scenarios I often missed—like empty fields or type mismatches
3)CI/CD integrated: I plugged Keploy into GitHub Actions, so every PR runs tests automatically
4)Peace of mind: I’m no longer afraid of breaking things in production
What I Learned
1) AI enhances, not replaces, our logic. It supports better test coverage without removing developer input.
2) Having a clean and detailed OpenAPI schema is super valuable.
3) Tools like Keploy bridge the gap between devs and QA testers—making collaboration and automation smoother than ever.
If you’re someone who finds API testing a chore—or you're constantly fixing bugs caused by untested endpoints—Keploy is a game-changer.
It's not just about saving time. It's about working smarter, catching more bugs, and feeling confident that what you ship just works.
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