Roundtable: AI Is Making Engineers Faster. Why Isn’t Delivery Improving?

AI is making engineers faster.But many teams aren’t shipping faster.

In fact, a surprising pattern is emerging across organizations:More code is being written, but also more rework, more review bottlenecks, and more uncertainty about what’s actually improving.

So what’s really going on?

In this candid roundtable, engineering leaders will compare what’s actually driving meaningful productivity gains and where AI is quietly introducing friction, false confidence, and system-level slowdowns.

Across teams, a consistent pattern is emerging:AI often improves local productivity, but degrades overall flow.

We’ll dig into questions like:

1. Where are AI tools genuinely improving throughput vs. just pushing work downstream?
2. What signals actually indicate real impact (beyond code volume or adoption metrics)?
3. When do “10x gains” at the individual level create bottlenecks at the system level?
4. Which rollout patterns are working and which ones look promising but don’t stick?

You’ll hear how other engineering leaders are:

1. Deciding what to scale and what to stop early
2. Rethinking how productivity is measured in AI-assisted environments
3. Navigating the trade-offs between speed, quality, and long-term maintainability

This session is for leaders making real implementation decisions: figuring out what’s actually working, what’s creating hidden drag, and how to avoid scaling the wrong things.