AI-Native Engineering: When Development Speeds Up, Quality Must Speed Up Too
Abstract
“AI is accelerating how engineering teams build, review, and automate work. In this session, I’ll share 8×8’s AI-native engineering transformation journey and how we are applying AI across development workflows, productivity, support automation, and operational efficiency.
I’ll also discuss what this speed means for quality engineering: why quality, security, and governance controls must evolve at the same pace, and how QA teams can contribute through smarter automation, risk-based validation, and evaluation frameworks for AI-powered products and bots.”
Key Takeaways
1. Innovation creates noise, making obvious truths harder to see.
2. Question if a problem really needs GenAI or if existing tools suffice.
3. Understand GenAI’s true value beyond the hype.
4. Old and new solutions should complement, not replace, each other.
5. A real-world case study shows how GenAI can be used effectively.
6. Clarity comes from cutting through illusions and embracing simplicity.
About Speaker
Anton Shchekalov is VP of Engineering at 8×8, based in Singapore. He leads distributed engineering teams across SEA, driving engineering strategy, product delivery, platform scalability, and technical excellence for high-scale communication and customer engagement systems. His recent focus is on AI-native engineering transformation, developer productivity, reliability, and building operating models that help teams move faster without compromising quality.