How low-code, self-healing, AI-driven automation lowers the barrier to entry and helps teams scale testing.

Bertold Kolics of mabl explains the value of "drinking your own champagne" (dogfooding) by testing mabl with mabl to build empathy with end users and catch defects early. He describes how low-code platforms ease the transition from manual to automated testing, reduce maintenance through self-healing, and speed root-cause analysis by capturing rich diagnostics like network logs and screenshots. The conversation covers using usage data and analytics (via a Segment integration) to spend limited "testing dollars" on the most impactful, most-travelled paths, plus tips for scaling automation across enterprise teams by sharing reusable components, pruning dead tests, and involving developers with local test runs.

**In this episode:**

**Guest:** Bertold Kolics — Engineering team member / self-described "question asker", mabl  

> “Drinking your own champagne forces you to put your end-user hat on and empathize with your end-users, because you're using the exact same tool that they would.”

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