AI-Native Engineering is the practice of building software with AI integrated as a core capability across the entire development lifecycle: from design and specification through implementation, testing, and maintenance. It is about how professional engineers build any software when AI is part of the stack.
My friend Srix delievered this session on “AI-Native Engineering Teams”. Here is the full Linkedin post with all the details.
One can get the slidedeck by posting here: https://ainativeorgs.com/get/ny-2026
“Engineering process is itself getting redefined through prompt engineering > harness engineering > loop engineering. And sooner our team will make this transition, we can leverage the true potential of achieving MTTR and shipping feature in days/weeks rather than months” – Vikas
More resources on AI Native Engineering:
- https://learn.chatgpt.com/guides/build-ai-native-engineering-team
- https://medium.com/@josephanu/ai-native-engineering-the-operating-model-behind-small-teams-doing-big-things-c6d01b944875
- https://github.com/alfonsograziano/ai-native-engineering

