Bret is joined by Andrew Tunall, the President and Chief Product Officer at Embrace, to discuss his prediction that we’ll all start shipping non-QA'd code (buggier code in production) and QA will need to be replaced with better observability.
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If AI causes us to ship more code, we’ll need more testing and QA. It’s unlikely that orgs will want to add staff just so they can use AI, so what’s the solution? Would we start relying more on production observability to detect code issues that affect user experience?
Embrace is a mobile observability platform company that I first met at KubeCon London this year. Their pitch was that mobile apps were ready for the full observability stack and that we now have SDKs to let mobile dev teams integrate with the same tools that we platform engineers and DevOps people and operators have been building and enjoying for years now. I wanted to hear from observability experts on how they think this is all going to shake out.
★Show Links★
Embrace website
Embrace GitHub repository
Embrace docs
Check out the video podcast version here: https://youtu.be/HHpn3OqMrbU
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- (00:00) - Intro
- (03:00) - AI in QA and Software Development
- (07:25) - Challenges and Cultural Shifts in AI-Driven Development
- (19:27) - Real-World Examples and Observations
- (26:01) - Future of AI in Software Engineering
- (26:49) - Building Reliable Software
- (27:39) - Tools and Strategies for Measuring Reliability
- (28:39) - Importance of Observability
- (35:52) - Enhancing Mobile App Observability
- (42:41) - Changing Behaviors in Observability
