AI Engineer Summit 2026

A look at what changed in the last twelve months — from demos to systems, from prompts to products — and what the discipline needs to figure out next.

Agents fail in ways that traditional services do not: partially, plausibly, and expensively. This talk is the playbook we wish we had — bounded tool surfaces, idempotent actions, replayable traces, checkpointing, and the escalation paths that keep a human in the loop without keeping them in the way.

A working tour of a real evaluation harness: dataset curation, judge prompts you can defend, statistical significance on small samples, and wiring the whole thing into CI so a regression blocks a deploy rather than surprising a customer.

Multi-tenant inference from the operator's seat: scheduling, memory packing, cold-start mitigation, noisy-neighbour isolation, and the observability you need before you can safely oversubscribe anything.