Official Session Summary
Pulled from the live conference page.
In software engineering, "technical debt" refers to the accumulated cost of shortcuts and slop code that works today but creates problems tomorrow. You move fast, auto-accept AI suggestions, and defer the cleanup. Latency debt works the same way. Over the past several years, we've spent enormous resources making AI models more capable, bigger, smarter, more contextually aware. What we haven't done is make the infrastructure keep pace. We optimized for intelligence. We deferred the cost of speed. That bill is now due.
Speaker Background
Quick context on the person or people on stage.
Head of DevX at Cerebras, with a systems-level perspective on performance, developer experience, and the real cost of inference bottlenecks.
Why This Slot Matters
A compact framing layer for navigating the conference.
This is one of the more substantive abstract-backed sessions on the schedule; worth opening when you need enough context to decide whether to stay in the room.