Resolve

AI assistant for engineering teams that autonomously investigates, debugs, and helps fix production incidents.

Verified
Quick facts
What is it AI assistant for engineering teams that autonomously investigates, debugs, and helps fix production incidents.
Pricing Contact for Pricing
Free tier No
Platform Web Application
Best for reducing mean time to resolution (MTTR) for production incidents, onboarding new engineers to complex systems
Domain registered 2018

Data updated Aug. 1, 2026

What does Resolve do?

Resolve is an AI assistant designed specifically for engineering teams dealing with production system incidents. It works by connecting to your codebase, infrastructure, and telemetry data to provide intelligent assistance during debugging and on-call rotations. The tool autonomously investigates issues, builds initial theories about root causes, and presents evidence-based findings before engineers even join a war room session. This approach helps teams start troubleshooting with actionable information rather than beginning from scratch.

What makes Resolve stand out is its ability to operate across multiple data sources simultaneously. It validates hypotheses against real production evidence, pursues multiple investigation paths in parallel, and generates specific remediation actions like code fixes, Git PRs, or kubectl commands tailored to your environment. The system captures tribal knowledge about your unique infrastructure and makes it accessible through natural language queries, which is particularly valuable for onboarding new team members who need to understand complex systems quickly.

Engineering teams at companies like DoorDash, Coinbase, and Expedia Group use Resolve to reduce incident investigation time by up to 87% and improve overall on-call effectiveness. The tool is most beneficial for organizations with complex microservices architectures where production issues can span multiple services and require coordinated debugging across teams. It helps protect revenue by minimizing downtime and ensures that institutional knowledge about system behavior is preserved and accessible to everyone who needs it.

#ai debugging#engineering productivity#incident management#mttr-reduction#production-ops

Key features

What makes it stand out
01
Autonomous incident investigation that builds theories before engineers join
02
Parallel hypothesis validation against real code, infra, and telemetry data
03
Automated remediation with code snippets, PR drafts, and kubectl commands
04
On-call rotation participation to reduce war room escalations
05
Instant Q&A for onboarding and debugging with full production context

Who is Resolve for?

Who benefits most from this tool
reducing mean time to resolution (MTTR) for production incidents
onboarding new engineers to complex systems
automating post-mortem and remediation tasks

Trust & presence

Domain Domain registered 2018

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