AI-Native SDLC: Beyond the Pilots, What Actually Works in Production

Using GitHub Copilot is not the same as being AI-native. The difference matters more than most teams realize, and getting it wrong is expensive. In this episode, Serhii, CTO and AI Lead, breaks down what AI-native software development lifecycle really means, and what it takes to make it work beyond the initial excitement. We cover what it actually means to build your SDLC around AI agents rather than just using them as shortcuts. Why measuring AI success by speed alone misses the point. How to handle security, privacy, and governance when AI is writing code that ships to production. The very real challenge of introducing agents into legacy systems without breaking everything. And what skill gaps show up in engineering teams, including the ones engineers are reluctant to admit. If you're building or managing an engineering team in 2026, this conversation is worth your time. 🔔 Subscribe for more practical conversations on AI, engineering leadership, and software delivery.