This panel discussion features four engineering managers from different companies discussing the current state of AI adoption in their organizations. The conversation covers three main themes: where AI is actually landing versus the hype, quality and testing practices in the AI era, and organizational realities. The panelists share their experiences with AI implementation, discussing challenges like cognitive surrender, shadow AI usage, and the need for collaboration between teams. They explore how AI tools are being used for code generation, test automation, and process optimization, while emphasizing the importance of maintaining fundamental technical skills and human oversight. The discussion highlights the gap between AI marketing promises and practical implementation, with organizations taking measured approaches to adoption while dealing with the pressure to upskill teams and establish consistent practices.
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