7CTOs Member Led Deep Dive: How Your AI Engineering Team Should Address Quality in June 2026

​Many engineering leaders are shipping code at AI speed. Almost none have a quality system built for it. That gap is the most urgent and most discussed problem in software engineering right now, and it’s compounding by the sprint.

​Drawing on conversations with dozens of CTOs, VPs of engineering, and QA leaders, Jay Aigner offers a clear picture of what’s actually happening on the ground: development velocity is way up, defect volume is up with it, regression suites are going stale on contact, and QA has become the bottleneck nobody planned for.

​Meanwhile the old SDLC roles are dissolving faster than anyone can redefine them. This is a deep-dive not on where AI is headed, but on how AI engineering teams are handling quality today. You’ll leave with a sharper way to think about the quality debt your velocity is creating, as well as what it takes to ship fast and clean.

​This is a presentation followed by Q&A. Expect a high-velocity exchange that grounds executive theory in real-world technical leadership.

​This is a 7CTOs Member-only call.