Session 01
How we 2x'd agent accuracy
Behind the Build: How we 2x'd agent accuracy
How Resolve's Agent Teams hit 2x root cause accuracy, and what rebuilding it more than once taught us.
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
How we 2x'd agent accuracy
How Resolve's Agent Teams hit 2x root cause accuracy, and what rebuilding it more than once taught us.
Session 02
Build vs. buy, AI agents for prod
Dive into the trade offs of building vs. buying from real stories of companies who have gone through the eval.
Session 03
Always-on background agents
See how 20+ always-on agents work the operational backlog overnight and how they fit into daily eng workflows.

Founding Chief Architect, Resolve AI
Hosting Behind the Build: How we 2x'd agent accuracy
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.
Explore Resolve's library of upcoming events, on-demand insights, and releases to level up your eng org.
Explore more events