How Gametime runs an AI-first SDLC from coding to on-call
Gametime is a last-minute live event ticketing platform where reliability is high stakes. A missed purchase during a sold-out event is revenue that never comes back, because there is no window to recover it.
With AI, Gametime 3x’ed code velocity. What Jeff noticed is that traditional on-call and incident response models didn't keep pace. Every stage of the SDLC now has agents in it except the one that runs after deployment, which became the new bottleneck.
Join this session from Josh and Jeff to hear how Gametime is extending agents across the full lifecycle, from coding agents through to Resolve AI agents handling on-call, incident response, and proactive improvements.
Featuring
Jeff Aronhalt
Principal Software Engineer, Gametime
Jeff has been at Gametime for over 7 years, harnessing AI, and building with, on, and for agentic apps and systems for Gametime's two-sided marketplace.
LinkedIn
Josh Grose
Head of Customer Success, Resolve AI
Head of Customer Success at Resolve AI. Previously led customer activation, adoption, and advocacy at fast-growing enterprise software companies, and mentors early-stage founders through First Round Capital.
LinkedInYou'll learn how Gametime achieved:
Fewer pages reach an engineer
Triage runs on the paging path and resolves what doesn't need attention before anyone is woken up.
Fewer alerts escalate past the on-caller
The investigation starts from context that's already built, so the first responder rarely needs a second.
Fewer alerts fire at all
That same context makes it possible to work a whole class of alerts down to whatever is actually producing them.
See AI-first on-call in action
Join us on 10 September to see how Gametime and other engineering teams are running on-call with incident agents.
