Why AI increases chaos and how to reduce complexity and regain control.

AI and vibe coding boost the speed of shipping production software. That sounds like progress until you realize what we are actually accelerating.

This session begins with a true story about real systems that looked perfect on paper but failed in predictable failure modes. Not because people were careless, but because the solution itself amplified the original flaw, faster, louder, and at scale.

From there, we connect the pattern to today’s AI integration gold rush. MCP everywhere, automations everywhere, agents everywhere. Each part makes sense locally. The network effect is where costs explode and maintainability becomes wishful thinking.

Then we look at a different path. How to reduce connections instead of generating more. How to keep speed without losing control. Why governance and observability are not paperwork, but survival functions in AI driven systems. And why open standards and open source patterns are the only sustainable way to make this work across ecosystems.

If you have ever looked at your integration landscape and thought everything is fine, and you just need more of it, this session is for you.