From Manual API Testing to AI-Powered Automation: My Experience with Keploy

Introduction
API testing is a crucial part of modern software development, but it’s often tedious and time-consuming when done manually. Recently, I explored the Keploy API Test Recorder Chrome Extension and was amazed at how quickly I could go from 0 to 100% test coverage—especially when testing real-world APIs on platforms like Pinterest and GitHub. Here’s my journey, the challenges I faced, and why I’m excited about the future of AI-driven API testing.
The Pain of Manual API Testing
Before Keploy, my workflow for API testing looked like this:
Open browser DevTools, monitor the Network tab, and manually inspect XHR/fetch requests.
Copy request details and write curl commands or Postman collections.
Manually validate responses, repeat for every endpoint, and document everything.
If the API changed, I had to update all my tests by hand.
This process was not only repetitive but also error-prone and hard to scale as the number of endpoints grew.
Discovering Keploy: A Game Changer
I decided to try the Keploy Chrome Extension to see if AI could make my life easier. The setup was simple:
Download and load the extension in Chrome.
Click “Record API Calls” while using Pinterest and GitHub as a regular user.
Stop recording, and instantly see a list of all captured API calls.
With a single click, generate tests or export cURL commands for further automation.
Real-World Testing: Pinterest & GitHub
I chose Pinterest and GitHub because both are API-rich and have dynamic content. Here’s what I found:
Pinterest: As I browsed boards and pins, the extension captured every API call—fetching pins, loading user profiles, and more. I ended up with 20+ new tests, all passing, without writing a single line of test code.
GitHub: Navigating repositories, issues, and pull requests, the extension again captured all relevant API calls. I could see the requests for repo data, user info, and notifications, and quickly generate tests for each.
From 0 to 100% Test Coverage in Minutes
The most impressive part?
I went from zero tests to 100% coverage in just a few minutes.
No more manual copying, no more missed endpoints, and no more outdated tests.
What Excites Me About AI-Driven API Testing
Speed: Test generation is instant. I can focus on building features, not writing repetitive tests.
Accuracy: Every real API call is captured, so nothing is missed.
Maintainability: If the API changes, I just re-record and regenerate tests.
Integration: Exported cURL commands and test cases can be plugged into CI/CD pipelines for continuous validation.
Challenges & Insights
Manual vs. AI: Manual testing is slow and error-prone. Keploy’s AI approach is fast, reliable, and scalable.
Learning Curve: The extension UI is simple, but understanding how to trigger all relevant API calls on a site takes a bit of practice.
Debugging: Sometimes, I had to use the “Debug” button or refresh the page to ensure all requests were captured.
Final Thoughts
Keploy’s AI-powered API testing has transformed my workflow. I’m now able to achieve full test coverage in minutes, keep my tests up-to-date, and focus on what matters most: building great software.
If you’re still doing API testing manually, give Keploy a try—you’ll never look back!