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GitHub Copilot: Partner in Test Automation or Just the AI Buzz?
Test automation often feels like walking a fine line between efficiency and perfection.
As a tester who has extensively used GitHub Copilot, I can say this:
it’s a game-changer — when used right.
Whether it’s handling repetitive tasks or generating boilerplate code, Copilot feels like having a junior assistant who speeds things up.
But is it really the perfect partner in test automation, or is it just another AI hype?
Let’s explore how I’ve used it, its potential, and where it might fall short.
How I Used GitHub Copilot in Test Automation
My experience with Copilot began with a Selenium test automation project where I had to write countless test cases and implement framework-level utilities. Copilot didn’t just suggest code — it understood the patterns in my project and delivered snippets that were surprisingly accurate.
1. Writing Test Cases Faster
Imagine setting up Selenium tests for login functionality. Normally, I’d spend time writing repetitive setup code. With Copilot, I just wrote a comment like // Test login functionality, and it generated this:
