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RubixKube, Tame the chaos, Talk to your infra
Welcome to the RubixKube Documentation. RubixKube is the Reliability Layer for the AI era. While most tools just tell you that something broke, RubixKube’s mesh of AI agents continuously observes your stack, investigates failures, and provides verified root causes with actionable fixes in minutes. Explore the documentation below to set up your environment, understand the core concepts, and start talking to your infrastructure.

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Start Building

Quickstart

Connect your first environment and see your first investigation in under 10 minutes.

How it Works

Understand the OPEL loop, the Agent Mesh, and how the Memory Engine compounds over time.

Platform Capabilities

Explore Magic Insights, RCA Reports, Actions, and the Rubix Chat Agent.

Integrations

Connect GitHub, Slack, Datadog, PagerDuty, or build your own custom integrations.

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Discover the Platform

Magic Insights

Shift from raw alerts to complete investigations with evidence-linked hypotheses.

Root Cause Analysis

Generate detailed, cited postmortems the moment an incident occurs.

Autonomous Action

Execute safe, scoped fixes with built-in blast radius calculations.

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Talk to Your Infrastructure

RubixKube Chat Agent
Stop grepping logs. Ask questions like “Why are payments slow in ap-south-1?” or “What changed before this alert fired?” and get a direct, cited answer from the AI agent that has been continuously watching your stack.

Chat Basics

Learn how to interact with the Rubix Chat Agent effectively.

Advanced Troubleshooting

Use chat to diagnose complex multi-service incidents.

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Developer Tools

Rubix CLI

Manage environments, run investigations, and interact with the Agent Mesh directly from your terminal.

Custom Agent Skills

Extend RubixKube’s capabilities by writing custom tools for the agents to use.

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Get Support

Need help or have questions? We are here to assist.

Email Support

Reach out to our engineering team directly at connect@rubixkube.ai.

Join the Community

Check out our open-source projects, report issues, and contribute on GitHub.