Just 5 days until re:Invent!! Come find us at booth #712 where we'll have: • Objectively the best swag at re:Invent (premium hoodies, vibe debugging hats, and much, much more) • An onsite seamstress to customize your hoodies (think GAP at Outside Lands) • An artificially intelligent photo booth (imagine yourself as an Avatar - the blue one) • An actually challenging interactive game (it’ll pay off to have been in a war room or two) • Enter-to-win raffles (who knew lego sets cost over $1000??) • 8 custom demo stations with the engineers who built Resolve (no autographs please) • A digital scoreboard-like halo above our booth (think SoFi Stadium) • Neon light shows (kinda like the Sphere but not really) Where else you can find us next week: • Around your neck, check one of the 75,000 lanyards! • SUSHISAMBA lunch on Monday • Tech Talk 1 with Coinbase on Monday • Happy Hours at the booth on Mon. 4-7PM and Wed. + Thu. 4-6PM • Tech Talk 2 with Zscaler on Wednesday - this one will be live streamed by Amazon Web Services (AWS)! • Executive Meeting Lounge with daily afternoon happy hours See you in Vegas 🎰
Resolve AI
Software Development
San Francisco, California 10,756 followers
Your AI for Production Systems
About us
Your always-on AI SRE Autonomously investigates incidents and helps you run production systems
- Website
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https://resolve.ai
External link for Resolve AI
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- San Francisco, California
- Type
- Privately Held
- Founded
- 2024
- Specialties
- AI SRE, Observability, Debugging, Agentic AI, Vibe Debugging, AI for Software Engineering, and AI for Production Systems
Locations
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Primary
Get directions
350 Rhode Island St
San Francisco, California 94103, US
Employees at Resolve AI
Updates
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We're excited to welcome Toast as a new customer of Resolve AI! Over 150,000 small businesses, restaurants, and stores rely on Toast each day. With Resolve AI, Toast ensures they stay up and running. Resolve works with Toast's existing tools, learns their environment fast, and gives every engineer instant production context. Less manual debugging, faster resolutions, more time to build. Welcome to the Resolve AI family, Toast!
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We're very excited to welcome DoorDash as a new customer of Resolve AI! DoorDash processes 2.5+ billion orders a year, connecting millions of customers with restaurants and stores across 40+ countries. When you're operating at that scale, downtime impacts the entire marketplace from Dashers to hungry customers to small businesses and advertisers. We're here to help DoorDash's engineering teams keep that marketplace running smoothly. Welcome to the Resolve AI family, DoorDash!
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We're excited to welcome Simrit Dhanjal to the Resolve AI team! 🎉 Simrit studied AI at Carnegie Mellon's School of Computer Science, where she got deep into machine learning, computer vision, NLP, and generative models. But what really stands out is what she's done with that foundation. At SpaceX, she built an intelligent fleet planning system for missions, combining deep learning and reinforcement learning. At Silvertrain AI, she built applied LLM solutions for clients adopting AI in production. And at Crusoe and CMU, she did something we really value: she taught. Whether writing PRDs or teaching undergrads, she's developed a skill for making complex AI concepts prove intuitive and practical. Here's why we're excited: we're building AI agents that think and act like engineers -- debugging production issues, understanding context, and actually solving problems instead of just surfacing alerts. That requires someone who understands foundation models, multimodal reasoning, and how to build ML systems that scale. Simrit's been there, and she's also someone who thinks about how humans interact with these systems, which matters just as much. Welcome to the team, Simrit! 🚀
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Single-agent AI: "Here's what might be wrong based on these logs" Multi-agent AI: "Incident detected, root cause identified across distributed systems, fix deployed and verified. Resolved in 4 minutes" Which do you want working for you? Sunday reads: How we think about multi-agent architecture 👇️ https://lnkd.in/gcfmWUhN
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Resolve AI reposted this
Milind Ganjoo and I had the privilege of guest lecturing at Stanford University's The Modern Software Developer course today. We spoke about what we’re building at Resolve AI and how agents can accelerate the velocity of engineers. Some of the ideas we talked about: - The hardest part of software engineering isn’t writing new code; it’s managing production at scale. 70% of engineering time goes to grunt work: log queries, cross-tool coordination, building context. - AI for production requires a deep understanding of how systems actually work. Your AI tools need to think, learn, and remember like your best, most seasoned engineers. - Building AI for production is a frontier problem. It requires consistent experiments and breakthroughs in agentic orchestration, model training, robust evals, and systems that learn over time. We’re always excited to speak with the next generation of builders thinking about these problems. The CS146S students will get hands-on with Resolve as an assignment to understand system architecture and investigate real production incidents. Thank you to Mihail Eric for having us and to the students for a great turnout for an 8:30am Friday lecture!
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Coding is only about 30% of a software engineer’s job. The remaining 70% is spent keeping production running. AI coding tools have helped engineers move faster, but the most difficult part of the job is still the one with the least support. Production environments shift constantly. Knowledge is scattered across teams. The operational load slows engineering output and limits business performance, no matter how quickly code can be written. Resolve AI is built to change this. Our team brings deep experience in observability, developer tools, and machine learning, including prior work at DeepMind and Splunk + two of the co-creators of OTel. Now, we're attacking one of the biggest problems in software engineering. Engineering teams from enterprises like Zscaler, MSCI, and Coinbase are already using Resolve to: • Triage alerts, identify the root cause, and provide a remediation plan • Deliver cost savings and performance improvements across infra and o11y • Provide the right architectural recommendations and code to build new features for existing systems The real opportunity in software engineering is not in writing the code. It is in running it. If you want to see how production can be managed differently, and why leading financial services and technology companies are adopting Resolve, let’s connect.
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We're excited to welcome Daniel to the Resolve AI team! Daniel comes from Verkada, where he worked on Core Command infrastructure, first as an intern, then stayed on full-time. Before that, he was at ByteDance working on TikTok's live streaming infrastructure, which is about as real-world as distributed systems get. Here's why we're excited: we're not just building another monitoring tool or ticketing system. We're rethinking how engineers interact with production, using AI agents to help you understand what's broken, why it's broken, and how to fix it. That requires people who've lived in the world of distributed systems and know what actually matters when things go wrong. Daniel gets it. Welcome to the team, Daniel! 🚀
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Resolve AI has expanded to offer full support for all AWS services and will be on display at AWS re:Invent in just under 2 weeks. We are excited to be providing AWS customers an always-on AI SRE to autonomously investigate incidents and improve operations across their AWS and Kubernetes environments. Visit us at Booth #712. Resolve AI 🤝 Amazon Web Services (AWS) Full Announcement: ordnl.link/eXRI8HU by Deep Desai, Mehul Goyal, Murali Balusu, and Annalise Krueger
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