Iris

Revolutionizing Open-Source AI Testing Infrastructure

While AI-powered backend UI testing solutions have proliferated, developers face a critical challenge: most advanced testing agents are closed-source black boxes. Iris emerges as a transparent, community-driven solution - offering enterprise-grade testing capabilities with complete visibility and control.

🚀 Why Iris?

✅ Full observability into testing algorithms and processes
✅ Avoid vendor lock-in with self-hosted AI models
✅ Community-driven improvements through open collaboration
✅ Modern testing paradigm combining AI precision with developer control

🌟 Featured Capabilities

• Visual regression testing with AI-powered analysis
• Self-healing test scripts using ML models
• Cross-browser/device testing orchestration
• CI/CD pipeline integration hooks
• Real-time test visualization and debugging

🛠 Tech Stack

🚀 Getting Started

📋 Prerequisites

• Node.js v18+
• pnpm 8.x
• Docker 20.x+
• PostgreSQL 14+
• Environment Setup:

  cp .env.template .env
  # Configure your environment variables

⚡ Quick Installation

pnpm run init

Single command sets up:

• Full dependency tree
• Dockerized services
• Database schema + seed data
• Pre-commit hooks

🧩 Core Workflows

Development Mode

pnpm run dev    # Hot-reload server
pnpm run debug  # Interactive debugging

Production Deployment

pnpm run build  # Optimized build
pnpm run start  # Start production server (port 8099)

Database Operations

pnpm run database:sync:dev  # Schema sync (dev only)
pnpm run database:reset     # Full reset + reseed
pnpm run database:seed      # Load mock data

🏗 System Architecture

graph TD
    A[User Interface] -->|HTTP| B[Remix Edge Runtime]
    B -->|Job Queue| C[Redis Cluster]
    C -->|Process| D[AI Testing Workers]
    D -->|Store Results| E[(PostgreSQL)]
    E -->|Analyze| F[Reporting Dashboard]
    F -->|Trigger| G[CI/CD Pipeline]

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🧭 Roadmap

• AI Test Generation
  Convert natural language to executable test cases
• Private Model Integration
  Support for local LLMs (Llama 2, Mistral)
• Intelligent Test Caching
  Context-aware cache invalidation for CI/CD
• Multi-Cloud Orchestration
  Unified testing across AWS/GCP/Azure
• Mobile Testing Suite
  Cross-platform iOS/Android validation

💌 Community & Support

Join 500+ developers in our Discord community to:

• Get expert implementation support
• Shape the product roadmap
• Share testing strategies
• Collaborate on integrations

🤝 Contributing

We actively welcome contributors! Please see our Contribution Guidelines for:

• Code style standards
• Testing requirements
• RFC process
• Community expectations

(Guidelines coming next week - watch the repo!)

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License: MIT
Maintainer: Pokemon Labs Team
Code of Conduct: Contributor Covenant