Resolve AI @resolveai

Learn how to run operational tasks with background agents: resolve.ai/product/operat…

Every day, engineers spend hours on work keeping production healthy: monitoring deployments, analyzing anomalies, generating reports, reviewing resource usage. This work eats real engineering time and requires someone to always be on hand to run it. Resolve AI's new background agents handle it continuously. They run on a schedule, on event triggers like deployments or alerts, or on demand. With the new chat experience, engineers can spin up a background agent in a single prompt and follow up on findings in the same conversation to debug live or trigger ad hoc workflows. You start your day with a prioritized list of what's already been investigated, including verified findings and recommended next steps. Execution happens in the background, and you step in to review, debug, or approve. Background agents are a new surface for us, and we'll keep expanding what they can do as more engineering work moves into the always-on pattern.

SREs Super Rad Engineers

Try it out today: resolve.ai/product/custom…

Up next: you can now build custom agents on Resolve AI. Resolve AI capabilities are now available as an MCP server, a public API, and composable Skills. Engineering teams can plug Resolve into their existing agent ecosystems, and the AI systems your team already uses can call Resolve's investigation capabilities directly. Resolve agents tap into your internal skills and knowledge so investigations run with the full context of how your systems actually work. Codifying your team's expertise into Resolve makes every agent a multiplier on the rest of your work. Your expertise plus Resolve's agent infrastructure (models, harness, context, governance) gets you the best agent for the job. Engineering effort moves to where it's differentiated. Zscaler is already taking advantage: "For server-side investigation, my team uses Resolve AI. I built the classifier, the error code mapping, the probe logic for our customer journeys, and Resolve AI runs the investigation across our code, infrastructure, and telemetry." - Mike, Senior Staff SRE

on-callmaxxing? Learn how with Steven on May 28th for a session on our newly released Agent Teams, Workbench, and Triage & Action capabilities. Sign up today! 👇️ resolve.ai/events/behind-…

Read the full breakdown of capabilities here. resolve.ai/blog/agents-to…

Today we’re shipping new capabilities that make Resolve AI the platform where engineering teams run and fix production software with AI agents. New capabilities include background agents that run operational tasks, new agent architecture that delivers 2x investigation quality, new agent capabilities like governed actions, and new ways to work with agents in UI or terminal. With Resolve AI engineering teams can: - Delegate on-call to agents - Co-work with agents to resolve incidents - Run operational tasks with background agents.

Listen to @spirosx on @StackOverflow to hear how humans are moving from being in the loop to being on the loop, overseeing agents that run constantly.

Stack Overflow @StackOverflow

2 weeks ago

🎙️ In this two for one episode from #HumanX2026, we're joined by @honeycombio CEO Christine Yen @cyen and @resolveai CEO Spiros Xanthos @spirosx for two conversations on doing observability right in AI-compressed SDLCs and where human intuition fits into huge, AI-generated

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Read more below: resolve.ai/blog/vision-fo…

Code is shipping at 10x velocity yet production complexity is growing right alongside it. Mayank lays out our vision for AI for prod and the four properties any effective system has to have: → Own the workflow end to end, from investigation through resolution → Run continuously, catching problems before they page anyone → Learn your specific environment and retain team knowledge across on-call handoffs → Coordinate across engineers, agents, and surfaces without dropping context

Learn how AI for prod helps you run the software: resolve.ai/product

AI is helping you write the code, but who is helping you run the software? Now more than ever, engineering teams need agents to run and fix software in production.

@tuhinone @spirosx 💚

Meet Seerut, Product Manager at Resolve AI. She joined more than a year and a half ago thinking it was a small, lean startup. Every step since has surprised her. Hear why running production systems is only getting harder and how Resolve AI is changing that.

Meet Elijah, Member of Technical Staff here at Resolve AI. He walked through the door and felt it immediately: pressure, passion, and fire. Hear why he picked Resolve, what makes the team different, and the one word he lands on for the culture here. 👇️

You ever get so far in the weeds on-call that you just want to say “shuck it”? On Thursday, May 7 on a SF rooftop, you can. Once again, we’re teaming up with our friends @Baseten to deliver a different kind of developer meetup. This one features the team at Hog Island Oyster Co., a hundred builders, and a whole lot of shuckers. RSVP to join us and learn how to shuck oysters (and eat your work) alongside fellow engineers. If seafood isn’t your thing, we’ll have plenty of other snacks and beverages to enjoy from the rooftop overlooking the Bay. ordnl.link/mFduacu

A long time ago, in a galaxy far, far away, engineers had to suffer through on-call alone. But they don't have to anymore, and to celebrate, we're hosting a private screening for engineering directors, managers, and their teams and counterparts to see Star Wars: Mandalorian & Grogu at Alamo Drafthouse Cinema in SF on Wednesday, May 27. There will be popcorn, there will be candy, and there will be 250 builders with whom the force is strong. RSVP to join us and invite your engineering teams: ordnl.link/KEESix5

Thank you to @TBPN for the thug life glasses 🕶️ It was great coming on the show and speaking with @jordihays and @johncoogan yesterday to talk AI for prod, our recent funding, and Resolve AI Labs! @resolveai