Resolve AI

101 drivers minding their business, road raging: 🚙 😐️ 😡 us *in bright yellow*: AI FOR PROD 🤪 🤪 ‼️

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.

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

After watching engineers burn out from fixing late-night outages, Resolve AI CEO Spiros Xanthos is developing AI systems to ease the burden of being on call, backed by a new $40 million funding round. forbes.com/sites/sofiachi… (Photo: Resolve AI)

Read our vision for the lab below: resolve.ai/blog/introduci…

We’ve raised an additional $40 million in our Series A Extension at a $1.5 billion valuation, led by DST Global and Salesforce Ventures, to launch Resolve AI Labs, focused on building the domain-specific models and agentic systems required to run software in production. Leading the lab is Dhruv Mahajan, who most recently led post-training for large-scale Llama foundation models at Meta. Foundation models alone won’t cut it. Production environments demand purpose-built models, domain-specific post-training, rigorous evaluation, and agentic systems designed for operational accuracy. That’s why we built Resolve AI Labs.

@HumanXCo Read @spirosx's full recap here: resolve.ai/blog/humanx-20…

HumanX 2026 was a blast! The big theme? AI has made it faster to ship code. Now everyone's asking who's going to help them actually run it. See how we showed up at @HumanXco and read our full recap below👇️

Last week amid the energy of HumanX, we hosted a different kind of event with our friends at @Baseten: A dinner mystery filled with engineers who prefer their incidents… fictional. Just like an incident, the assembled crew of builders teamed up to gather clues, review facts, test hypotheses, and explore known unknowns to solve the puzzle. Unlike an incident, the room was filled with laughter, fine food, and method actors making sure everyone had a good time. Dinner mystery > downtime mystery.