World Congress 2026 Europe

Designing UX for SRE Agents in High-Stakes Incidents

July 9, 2026 10:10 – 10:20 · 10 min Airstream 2

What this session covers

Incident analysis isn’t a straight-line calculation, it’s a maze. Every alert opens a fork: deploy regression, dependency flap, or the first step of something larger. Older LLMs stumbled at the first fork. Newer models navigate these branches and backtrack when a hypothesis doesn’t hold. At Hyground, we don’t hand our SRE agents exhaustive runbooks. We give them a foundation in operations work and pointers to metrics, logs, and wikis, then let them run.

That forces us to rethink what UX means. When the trajectory isn’t one you can wireframe in advance, what are you actually designing? Engineers want control, most of all at 3am with a pager going off. How do you surface an agent’s reasoning without burying the operator in text? How do you give the human steering authority over a process whose next step doesn’t exist yet? We will walk through the interface patterns we landed on in Hyground, the ones we discarded, and close with a question: when the thing on the other side of the screen is an intelligence of its own, is “user interface” still the right word?

Related talks at this congress

Open session

World Congress 2026 Europe

July 10, 2026 · 13:40–14:10

Stage 2

One Interface, Two Audiences: Designing CLIs for Humans and AI Agents

Gala Dvoretskaya, Sean O'Dell

Gala Dvoretskaya
Sean O'Dell
Open session

World Congress 2026 Europe

July 9, 2026 · 11:30–12:00

Stage 6 - powered by Microsoft

The day the chatbot asked for sudo

Alex Olivier

Co-founder and CPO of Cerbos

Alex Olivier
Open session

World Congress 2026 Europe

July 10, 2026 · 14:20–14:50

Stage 12

Beyond Chat: AI Workflows That Actually Investigate Alerts (So You Don't Have To Know Everything)

Aram Hakobyan, Nune Isabekyan

Aram Hakobyan
Nune Isabekyan
Open session

World Congress 2026 Europe

July 9, 2026 · 10:55–11:05

Airstream 2

Fast Agents Produce Bad Results Faster

Mardu Swanepoel

Head of AI Engineering at Flinn.ai

Mardu Swanepoel
All sessions at this congress