As AI coding agents become more capable, I think the bottleneck is shifting. The talk is no longer just about building better agents. It’s figuring out how to deploy them safely and consistently across engineering teams. Permissions, governance, evaluation, shared context, and platform support are becoming just as important as the models themselves. Patrick Debois (the Father of DevOps) recently spoke about this at AI DevCon, an event by AI Native Dev (Tessl’s community), where he introduced the idea of Agent Enablement and what it takes to scale AI beyond individual productivity. I found it to be one of the more interesting talks on where AI-native engineering is heading. Watch it here: https://www.youtube.com/watch?v=I9RWrW32QEw If these topics interest you, we’ve also recently launched r/Tessl as a place to discuss AI-native software engineering, coding agents, evaluations, and developer workflows. submitted by /u/rohansrma1
Originally posted by u/rohansrma1 on r/ArtificialInteligence