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📚Complete Guide

Kubiya Tutorial: Get Started in 5 Minutes [2026]

Master Kubiya with our step-by-step tutorial, detailed feature walkthrough, and expert tips.

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Getting Started with Kubiya

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Sign up for a 30

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day free trial at kubiya.ai — the trial provides full platform access with a limited AEH quota to evaluate core capabilities. Configure initial policies and permissions using the built

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in OPA policy editor to define what agents can and cannot do in your environment. Start with read

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only operations and status queries to build confidence in the AI's infrastructure context awareness before enabling write actions. Train the AI on your specific workflows by connecting your existing tools (Kubernetes, Terraform, CI/CD pipelines) and defining operational playbooks. Gradually expand AI authority by enabling write operations, starting with low

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risk tasks and progressively increasing scope as trust is established.

💡 Quick Start: Follow these 5 steps in order to get up and running with Kubiya quickly.

🔍 Kubiya Features Deep Dive

Explore the key features that make Kubiya powerful for enterprise agents workflows.

Agentic Engineering Organization Platform

What it does:

AI system that transforms high-level business objectives into automated infrastructure actions using autonomous agents that understand context and make intelligent decisions.

Use case:

Perfect for organizations needing to move beyond runbook automation to truly autonomous, goal-driven infrastructure management.

Real-Time Infrastructure Context Graph

What it does:

Maintains live awareness of infrastructure state, dependencies, and configurations across all connected tools and platforms, enabling agents to make informed decisions.

Use case:

Essential for AI that needs to understand the current state of complex, multi-tool environments before taking action.

Conversational DevOps Interface

What it does:

Natural language interface that allows engineers and non-engineers to interact with infrastructure through conversation, lowering the barrier to DevOps operations.

Use case:

Critical for democratizing infrastructure management and enabling self-service operations across engineering teams.

Zero-Trust Security Architecture

What it does:

Built-in OPA policy enforcement, comprehensive RBAC, and full audit trails ensure all AI-initiated actions comply with organizational security and compliance requirements.

Use case:

Ideal for enterprises requiring strict compliance, auditability, and controlled automation in regulated environments.

Multi-Protocol API Integration

What it does:

Native support for REST, GraphQL, and Webhooks enables flexible integration with diverse enterprise toolchains and custom systems.

Use case:

Perfect for organizations with heterogeneous infrastructure stacks requiring unified orchestration across multiple protocols.

❓ Frequently Asked Questions

How does Kubiya ensure AI-driven actions are safe?

Kubiya implements multiple safety layers including OPA (Open Policy Agent) policy enforcement, comprehensive RBAC, real-time infrastructure context awareness, and complete audit trails. All agent actions are governed by configurable policies that define what operations are permitted, under what conditions, and by whom. Organizations can start with read-only operations and progressively expand agent authority.

Can Kubiya work with our existing DevOps tools?

Yes, Kubiya is designed for zero vendor lock-in and integrates with major infrastructure tools including Kubernetes, Terraform, AWS, Azure, GCP, GitHub, Jira, PagerDuty, Slack, and Microsoft Teams. It connects via REST, GraphQL, and Webhooks, allowing it to orchestrate across your existing toolchain without replacing any components.

What's the difference between Kubiya and traditional ChatOps?

Traditional ChatOps tools primarily relay commands from chat interfaces to scripts and runbooks. Kubiya's agentic approach goes further: agents understand infrastructure context in real time, interpret high-level objectives, make intelligent decisions, and execute multi-step workflows autonomously — all within policy-defined guardrails.

How does the AEH pricing model work and what does it cost?

Kubiya uses an Agentic Engineering Hours (AEH) consumption model where you purchase a retainer of AEH that agents consume as they perform tasks. Professional plans start at 2,500 AEH annually, with per-AEH rates typically in the $10–$20 range based on publicly referenced engagements — placing the entry-level annual cost at approximately $25,000–$50,000. Enterprise plans with larger AEH allocations typically start at $75,000+ annually. Exact pricing depends on commitment term, number of integrated tools, and support tier. A 30-day free trial with a limited AEH quota is available for evaluation, and Kubiya's sales team can provide a detailed cost breakdown during a scoping call.

What ROI can we expect from deploying Kubiya?

Organizations report significant reductions in engineering overhead and mean time to resolution (MTTR) through automated incident response and self-service provisioning. Kubiya's vendor-reported estimates suggest 40–60% overhead reduction for mature deployments, though actual results vary based on organizational maturity, integration depth, and the scope of automated workflows. Formal third-party ROI studies are not yet publicly available.

What happens if we exceed our AEH allocation?

Kubiya notifies you when approaching your AEH limit and provides options to purchase additional hours or adjust agent activity. Operations are not abruptly halted; the platform provides visibility into consumption patterns to help with capacity planning.

What happens if we need to stop using Kubiya?

Kubiya's zero lock-in architecture means your underlying tools, configurations, and workflows remain intact. The platform orchestrates existing infrastructure tools rather than replacing them, so discontinuing Kubiya does not leave you without operational capability.

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Ready to Get Started?

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Tutorial updated March 2026