<ul><li>Teams need to be cautious about over-relying on GitHub Copilot without scrutiny, as it can lead to bloated or inefficient test scripts.</li><li>Training and adapting workflows are necessary to fully utilize Copilot, as not all team members may be familiar with AI tools.</li><li>Long-term test stability requires manual effort for script evolution, despite Copilot's assistance in initial script creation.</li><li>GitHub Copilot simplifies automation testing, improves productivity, and lowers the barrier to entry for less-experienced testers.</li></ul>

How GitHub Copilot is Changing Automation Testing: What It Means for Cypress, Robot, and Custom…

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