In today's episode, we're diving into proactive observability and testing with our special guest, Anam Hira, cofounder of Reveal.ai. Anam, who also has experience working at Uber AI, shares an intriguing journey where he developed "Dragon Crawl," an innovative project aimed at tackling challenges Uber faced with its end-to-end testing across multiple cities. We explore how Dragon Crawl utilized LLMs to enhance testing reliability, making tests less flaky across varied UIs.

Anam's journey didn't stop there. He co-founded Reveal, a platform that takes testing and observability to a new level by connecting end-to-end tests with telemetry data. This modern approach, termed proactive observability, allows for detecting bugs before they hit production, saving companies significant time and cost.

Join us as we explore the principles of proactive observability, how Reveal leverages telemetry for seamless integration, and its impact on testing efficiency. Whether you're a startup or an enterprise, if you're keen to ship faster without sacrificing quality, this is an episode you won't want to miss!

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