Behind the Build: How to Run Prod with Background Agents

WebinarSeptember 21, 2026

Most Recent

AI SRE buyers guide
EbookJuly 16, 2026
How Coinbase Delivers 10x Engineering using AI for Prod
WebinarSeptember 15, 2026
AI for prod: The third wave of AI in software engineering
EbookDecember 11, 2025

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Search across every guide, ebook, report, and customer story.

Always on agents for daily engineering tasks in production — Justin Smith, Founding Engineer at Resolve AI, on agents that react to events instead of waiting for a human, where teams point them first, and why the hard part is knowing what to do rather than doing it.
Coding agents can finally work with prod — Shipping code fast with coding agents only pays off if the change is grounded in what happens next: the alerts, the deploys, the slow leak nobody notices until it becomes an incident. ResolveAI surfaces that missing production context to help with alert investigations, incidents, and prevent issues by writing better code grounded in prod. When you need it, you @resolve right inside your Cursor, Claude Code, or Codex CLI, and it works with your coding agent to bring that context into view without losing your place.
Behind the Build: How to Run Prod with Background Agents — On-call agents triage your alerts and incident agents handle the big, visible failures. But what about everything else that keeps production healthy? Watching deploys go out, chasing down why P99 drift came back, running recurring health checks, writing the incident digest nobody has time for. In this Behind the Build session, Resolve's Justin Smith goes deep on background agents: autonomous agents that run continuously in the cloud, take on the operational toil that never makes the sprint board, and pull you in only when a decision is needed, including a live look at a background agent monitoring a production deployment.
Powering Uninterrupted Ads for DoorDash Advertisers — DoorDash customer story
Making the Global Crypto Backbone More Resilient — Coinbase customer story
Luxury Housing Meets Engineering Excellence — Blueground customer story
Accelerating Zero-Trust Network Incident Response — Zscaler customer story
From Hours to Minutes for the World's Leading CRM — Salesforce customer story
Keeping Last-Minute Ticketing Reliable for Fans Worldwide — Gametime customer story
The AI startup that will END software engineers burnout — Lightspeed Investment Memo
Meet the early-stage startups racing to define the future of artificial intelligence — Forbes
Resolve AI announces $125M Series A at $1B valuation to fix production operations with AI — Press Release
Resolve AI hits $1.5 billion valuation and launches Resolve AI Labs — Forbes
Resolve AI hits $1 billion valuation for outage-thwarting AI agents — Bloomberg
InfraRed 100 honors 100 transformative companies in cloud infrastructure — Redpoint Ventures
The next challenge for coding agents — Press Release
Resolve AI appoints Jason Forget as President and founding Chief Revenue Officer — Press Release
How Coinbase Delivers 10x Engineering using AI for Prod — How Coinbase reached 72% faster investigations by integrating AI into production operations.
How Zscaler Engineers Get to RCA in Minutes — Join Chris Umbel (Sr. Principal SRE, Zscaler) and Josh Grose (Head of GTM, Resolve) as they explore how Zscaler integrates AI directly into incident response workflows. Their engineering teams employ AI hundreds of times weekly to maintain shipping velocity while sustaining reliability standards.
Fireside Chat: How FinServ Companies Optimize Cost with AI for Prod — An online event hosted by Resolve AI. For Financial Services companies, managing spend, cost, and ROI is the basis of their business. This fireside chat will focus on stories, lessons, and learnings for optimizing cost, reducing complexity, and accelerating velocity using AI. Learn about examples from major players across the spectrum of Financial Services, from modern cryptocurrency exchanges like Coinbase to institutions like Affirm, MSCI, and SoFi.
Build or Buy: Agents that run and fix your production software — This 45-minute on-demand session breaks down the build-vs-buy decision for AI agents that operate production — featuring Resolve's Dave Lawson and Ed Li. What looks easy with a single agent, what breaks at team and org scale, and what a real AI-for-prod stack actually requires.
Resolve AI announces $40M series A extension and launches Resolve AI Labs — Press Release
AI for Prod gets new agents to improve investigation accuracy, automate daily production tasks, and more — Press Release
Resolve AI, the production-operations startup today announced a sweeping expansion of its platform — VentureBeat
Resolve AI CEO Spiros Xanthos: AI’s impact on software production systems — McKinsey & Company
Why internal agent projects stall after the first good demo — Dhruv Mahajan, Chief AI Scientist at Resolve AI, on why early results are misleading, what a team runs out of when it tries to improve an agent, and why building evals is a machine learning problem.
Leading the cost and accuracy curve for production investigation — Dhruv Mahajan, Chief AI Scientist at Resolve AI, on why the whole curve matters rather than any point on it, how you tell a real improvement from a trade, and why the thing being measured is a system rather than a model.
How the agent learns and improves over time — Noah Schlager, Member of Technical Staff at Resolve AI, on the manual work memory automates, how the agent knows an environment before the first alert fires, and why generating knowledge is easy but useful knowledge is hard.
Why root cause lives between your tools and systems, not inside any one of them — Swarit Joshipura, Member of Technical Staff at Resolve AI, on the middle-of-the-night page for a service ten hops upstream, why Resolve AI queries data live instead of ingesting it, and what makes observability integrations so hard to build.
What it takes to let an agent take action in production — Claire Yin, Member of Technical Staff at Resolve AI, on what it takes to let an agent take real action in production, where evals end and guardrails begin, and why there’s no trade-off between safety and efficiency.
Token efficiency in AI agents: charging for the work, not the tokens — Varun Krovvidi, Product Marketing at Resolve AI, on why token counts became the industry's scoreboard, what a well-run investigation reads and skips, and why Resolve AI bills for completed work instead of consumption.
How do you evaluate an AI agent that investigates production systems? — An eval gives an agent a task with a known correct outcome, runs it several times, and grades the result — turning “the feel of the model” into an objective metric. What agent evals are, who grades them, how to build a suite, and why production troubleshooting is the hardest thing to evaluate.
Engineering AI agents for on-call and incidents — Six mandatory pillars of architecture to build around the models
AI SRE buyers guide — How AI SRE reduces production complexity and time to evidence, plus how to choose build vs. buy vs. hybrid and evaluate a production-ready system.
Global Uptime Unlocked - From Data to Action with Agentic AI
The AI ROI Worksheet: A Model to Measure Software Delivery and Production Operations — Most engineering leaders do not need a perfect financial model on the first attempt. What they need is a model credible enough to support a real conversation with finance, procurement, and executive leadership. This worksheet makes that process straightforward. Work through the four steps below using your organization's actual numbers. A completed example follows each step.
Rethinking Software Engineering for an AI-First World — Greylock
Vendors for AI SRE and Observability — Gartner
This AI company wants to do the dirty work for coders — Morning Brew Daily
The AI ROI Playbook
Resolve AI overview — Resolve AI overview
Practical guide: Adopting AI agents in engineering, beyond code generation — 4 workflows where leading engineering organizations are deploying AI agents
The AI ROI Playbook for Financial Services
AI for prod: The third wave of AI in software engineering — This isn’t about making engineers 2x faster. It’s about fundamentally changing what problems are worth engineers’ time.

Behind the Build: How to Run Prod with Background Agents

Most Recent

AI SRE buyers guide

How Coinbase Delivers 10x Engineering using AI for Prod

AI for prod: The third wave of AI in software engineering

Browse the library

Always on agents for daily engineering tasks in production

Coding agents can finally work with prod

Behind the Build: How to Run Prod with Background Agents

Powering Uninterrupted Ads for DoorDash Advertisers

Making the Global Crypto Backbone More Resilient

Luxury Housing Meets Engineering Excellence

Accelerating Zero-Trust Network Incident Response

From Hours to Minutes for the World's Leading CRM

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Drives up to 5x faster MTTR and 75% higher productivity.