Andrew Tunall, President and Chief Product Officer at Embrace, shares insights on the future of software quality assurance amid AI advancements. He predicts a shift toward shipping buggier code without traditional QA, emphasizing the need for enhanced observability in mobile apps. Discussions include adapting QA processes and the necessity for robust reliability frameworks to navigate AI's complexities. Tunall also highlights the importance of standardization in Continuous Integration as technology rapidly evolves, urging developers to leverage real user data for better app performance.
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insights INSIGHT
AI Shifts Software Development Paradigm
AI will drastically boost productivity in software engineering, altering how teams operate.
Companies likely won't increase QA staff proportionally to increased code output from AI assistance.
insights INSIGHT
No More QA Staff Budgets
No organization budgets for more QA or operations staff despite AI-driven code increases.
Cultural and role changes are needed to adapt to AI’s role in software creation.
insights INSIGHT
AI Misses User Experience Nuances
AI-assisted coding may introduce unforeseen user experience issues, like causing delays for global users.
Human systems thinking is necessary to catch problems AI might miss.
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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.
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