About This Episode:

Your developers just got supercharged by AI coding agents. Your test coverage did not. So how do you keep quality high when product code is shipping faster than any test team can follow?

In this episode Andrew Knight, the Automation Panda and Senior Director of Product and Engineering at Cycle Labs, shares how his six person team is running the biggest release quarter in company history using AI coding agents, spec driven development, and Playwright.

You will discover:

Whether you are an automation engineer, a QA lead, or an engineering manager trying to figure out where testing fits in an AI first workflow, this episode gives you a practical playbook you can start using this week.

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About Andrew Knight

Andrew Knight, also known as “Pandy,” is the Automation Panda. He’s a software quality champion who loves to help people build better quality software. Currently, he works as the Senior Director of Product Management at Cycle Labs, focusing on building an excellent test automation platform for enterprise systems. Previously, Pandy spent a decade as a SDET building solutions to testing problems at various tech companies. He also previously led Developer Relations and Test Automation University at Applitools. As an avid supporter of open source software, Pandy is a Playwright Ambassador as well as the lead developer for Boa Constrictor, the .NET Screenplay Pattern. On the side, he is writing a book on software testing with Manning Publications. Apart from software, Pandy spends time with his family, his French Bulldog, and his vintage Volkswagens. Check out his tech blog at AutomationPanda.com, and follow him on Twitter at @AutomationPanda.

Connect with Andrew Knight

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