Welcome to Orixen
Orixen is an AI-native IDE for serverless applications. It provides a serverless architecture that tackles a key challenge of using AI to code: managing hallucinations while ensuring maintainability.
Orixen adds a visual abstraction layer of small blocks that communicate through a messaging-based architecture, fully decoupling software components and minimizing the context AI needs to work effectively.
You can build and edit resources in your preferred code editor—VS Code, IntelliJ, Vim, Cursor, and more—collaborate with AI agents, reuse code, and deploy to AWS using an intuitive drag-and-drop interface.
Instead of writing boilerplate infrastructure code, you design your workflows, APIs, and integrations on a canvas, and Orixen supports code generation and automatically creates Terraform configurations.
All code is stored locally, you can version it with Git, and deploy it to your own cloud account.
More languages and cloud providers will be supported in the future.
Why Orixen?
- AI agents working on large monolithic codebases often struggle with hallucinations, high token consumption, and maintainability issues.
- AI agents work especially well coding with small and isolated contexts. Serverless functions fit this model perfectly.
- Moving from monolithic to serverless architecture can generate up to 90% savings on infrastructure costs, depending on the workload.
- Managing thousands of small parts of software is hard without proper tooling.
Key Features
- Visual Builder – Drag-and-drop blocks to design your application architecture.
- Block Reuse – Code blocks can be reused across projects.
- Agent Integration – Code with AI agents directly within the IDE, using Claude Code, Codex, Copilot, Gemini, and more.
- Local Run – Easily test locally before deploying.
Supported Blocks
| Block Type | Description |
|---|---|
| API | HTTP endpoints with API Gateway |
| WebSocket | Real-time bidirectional communication |
| Function | Lambda, EC2, or Fargate compute* |
| Queue | SQS message queues |
| Schedule | CloudWatch scheduled events |
| Response | Define API responses |
- Only lambda is currently supported; EC2 and Fargate coming soon. As well as more cloud providers.
How It Works
- Design - Create your workflow by connecting blocks on the canvas
- Configure - Set properties for each block
- Code - Code your functions using AI agents or manually
- Deploy - Easily deploy to AWS - more cloud providers coming soon!
Next Steps
- Prerequisites - Install AWS CLI and Terraform for Self-Hosted deployment
- Getting Started - Build your first API in minutes