Session 01
Agents and engineers, on-call together
Behind the Build: Agents and engineers, on-call together
See how on-call agents triage incoming alerts and hand off to engineers steering the deeper investigation.
Get an exclusive look at how we built Agent Teams + Workbench
Most production engineering teams spend the week reacting. Alerts pile up faster than anyone can triage them, runbooks sit half-finished across a dozen documents, and the deep operational knowledge lives with whoever's on-call that night.
Always-on AI agents are starting to change the shape of that work. They triage alerts, work the operational backlog, and investigate incidents alongside engineers in real time.
In this series, three engineers at Resolve walk through how and why they built the AI agents that run in complex production environments today. You'll get an inside look at the builds themselves and practical guidance on where AI for production can make a difference in your org.
Session 01
Agents and engineers, on-call together
See how on-call agents triage incoming alerts and hand off to engineers steering the deeper investigation.
Session 02
Build vs. buy, AI agents for prod
Walk through a working framework for build vs. buy vs. compose, with the REST API, MCP, and Skills primitives underneath.
Session 03
Always-on background agents
See how 20+ always-on agents work the operational backlog overnight, and what your team walks into in the morning.

Founding Chief Architect, Resolve AI
Hosting Behind the Build: Agents and engineers, on-call together
Founding Chief Architect at Resolve AI and former Principal Engineer at Splunk. Steven has deep expertise in large-scale infrastructure and software systems, with prior engineering experience at Uber, Omnition, and Microsoft.

Founding Solutions Engineer, Resolve AI
Hosting Behind the Build: Build vs. buy, AI agents for prod
Founding Solutions Engineer at Resolve AI with a background spanning cloud infrastructure, enterprise architecture, and developer platforms. Previously held leadership and solutions roles at Docker, MongoDB, Dell, and Starburst, helping large organizations adopt modern cloud and data technologies at scale.

Member of Technical Staff, Resolve AI
Hosting Behind the Build: Build vs. buy, AI agents for prod
Member of Technical Staff at Resolve AI focused on LLMs and AI systems. Previously a Staff Software Engineer at Google DeepMind working on Gemini Canvas, with a background spanning large-scale software engineering, machine learning, and research.

Founding Product Engineer, Resolve AI
Hosting Behind the Build: Always-on background agents
Founding Product Engineer at Resolve AI with 15+ years of experience building developer tools and observability platforms at companies like Splunk and VMware. Justin specializes in product design, frontend architecture, and turning complex infrastructure data into intuitive user experiences.
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