From the course: AI for Software Testers: Apply AI Tools and Techniques to the Software Testing Life Cycle

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Enhancing code quality with GitHub Copilot

Enhancing code quality with GitHub Copilot

From the course: AI for Software Testers: Apply AI Tools and Techniques to the Software Testing Life Cycle

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Enhancing code quality with GitHub Copilot

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- [Instructor] Think about the last time you inherited somebody else's automation test. Maybe it ran fine, but maybe the steps were a bit hard to follow. Variable names didn't make sense, and you saw duplicated logic scattered across multiple files. You end up thinking, "How on earth am I supposed to maintain this?" As testers, we live with the code that we write. We don't just automate once and move on, we debug it, we hand it over, we extend it, and we trust it to catch real issues. That means clarity isn't optional. It's the difference between tests that help and tests that waste our time. And that's exactly where tools like GitHub Copilot can help us. It's not just for developers writing applications. GitHub Copilot can help you write better test automation code, cleaner test scripts, smarter helper functions, cleaner fixtures, and more understandable logic overall. In this video, we'll focus on how GitHub Copilot helps testers improve things like clarity, so anyone can read your…

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