Why Kubiya?

The advantages of deterministic workflows over chaotic AI agents

Why Choose Kubiya?

The Problem with Traditional Approaches

AI Agent Frameworks: Unpredictable Chaos

• Non-deterministic: Same input can produce different execution paths
• Hard to debug: Complex agent interactions make troubleshooting nearly impossible
• Production risks: Unpredictable behavior in critical environments
• State management hell: Agents accumulate state leading to drift

Traditional Orchestrators: Manual Complexity

• No AI capabilities: Everything must be manually coded
• Steep learning curve: Complex DSLs and configurations
• Limited flexibility: Hard to adapt to changing requirements
• Slow development: Every workflow requires extensive coding

The Kubiya Solution

AI-Powered Generation

Natural language to workflow in seconds

Deterministic Execution

Same input always produces same result

Container Isolation

Every step runs in its own secure container

Universal Compatibility

Run any language, tool, or software

Key Differentiators

1. Deterministic by Design

Unlike agent frameworks where execution paths vary, Kubiya workflows follow the exact same path every time.

2. Application Layer Security

• No direct infrastructure access required
• No god-mode Kubernetes permissions
• Complete audit trail of all actions
• Runs in isolated containers

3. AI as a Tool, Not a Controller

# AI generates the workflow
workflow = adk.compose("Deploy my app with health checks")

# But execution is deterministic
result = execute_workflow(workflow)  # Same result every time

4. Production-Ready from Day One

• Built-in error handling and retries
• Comprehensive logging and monitoring
• Rollback capabilities
• Health checks and validations

Comparison Matrix

Feature	Agent Frameworks	Traditional Orchestrators	Kubiya
AI Capabilities	✅ Deep but chaotic	❌ None	✅ AI-generated, deterministic
Predictability	❌ Non-deterministic	✅ Deterministic	✅ Deterministic
Debugging	❌ Nearly impossible	⚠️ Complex	✅ Step-by-step visibility
Setup Time	Days/Weeks	Days/Weeks	Minutes
Language Support	Limited	Limited	✅ Universal
Production Safety	❌ High risk	✅ Safe but rigid	✅ Safe and flexible

Real-World Benefits

For DevOps Teams

• Faster automation: Natural language to production workflow in minutes
• Reduced errors: Deterministic execution eliminates surprises
• Easy maintenance: Clear, auditable workflow definitions
• Universal tooling: Use any tool or language you prefer

For Security Teams

• No infrastructure access: Workflows run in isolated containers
• Complete audit trails: Every action is logged and traceable
• Least privilege: Only the permissions needed for each step
• Compliance ready: SOC2 compliant platform

For Development Teams

• Rapid prototyping: Test ideas quickly with AI generation
• Language agnostic: Use Python, Go, Node.js, or any language
• Version control: Workflows are just code, use Git naturally
• Testing friendly: Deterministic = easily testable

Success Stories

Before Kubiya

• 🔴 3 days to build a deployment pipeline
• 🔴 Constant debugging of agent behavior
• 🔴 Production incidents from unpredictable AI
• 🔴 Complex state management code

After Kubiya

• ✅ 30 minutes from idea to production
• ✅ Predictable, debuggable workflows
• ✅ Zero AI-related production incidents
• ✅ Simple, declarative workflows

The Bottom Line

Kubiya provides the best of both worlds:

• AI power for rapid workflow generation
• Deterministic execution for production reliability
• Container isolation for security
• Universal compatibility for flexibility

Get Started Today

1. Install SDK

   pip install kubiya-workflow-sdk
   

2. Generate Your First Workflow

   from kubiya_workflow_sdk.providers import get_provider
   
   adk = get_provider("adk", api_key="YOUR_KEY")
   workflow = await adk.compose("Create a backup of my database")
   

3. Deploy with Confidence

   result = execute_workflow(workflow)  # Deterministic execution
   

Learn More

Platform Overview

Understand the architecture

Quickstart

Build your first workflow

Agent Comparison

Detailed framework comparison

Examples

Real-world use cases