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VibeCode Platform Documentation

Cloud-Native Development Platform with AI-Powered Workflows

VibeCode is an infrastructure-first cloud-native development platform that combines the power of AI-driven project generation with enterprise-grade security and observability. Built on Kubernetes with a complete VS Code experience in the cloud.

🚀 AI Project Generation

Transform natural language prompts into production-ready codebases using Claude-3.5-Sonnet and multiple AI providers.

🖥️ Live VS Code Experience

Full IDE via code-server with real-time collaboration, not a limited web editor.

📊 Multi-Platform Observability

Hybrid monitoring stack: Datadog + Prometheus + Vector + OpenTelemetry support.

🔐 Enterprise Security

Authelia 2FA/SSO, hardware keys, TOTP, integrated security scanning with Kubehound.

  • Infrastructure-First: KIND (Kubernetes in Docker) orchestration eliminates 60-80% custom development
  • Multi-AI Provider Support: Avoid vendor lock-in with intelligent routing across 6+ AI models
  • Production-Ready: NGINX Ingress, cert-manager, Helm charts, persistent storage
  • Accessibility Compliance: WCAG 2.1 AA compliant with comprehensive testing
  • Open Source: MIT license with permissive dependencies (Apache 2.0, BSD, MPL-2.0)

VibeCode leverages a hybrid observability stack that provides both enterprise features and vendor independence:

Primary (Default): Datadog + Prometheus + Vector Hybrid

Section titled “Primary (Default): Datadog + Prometheus + Vector Hybrid”
  • Datadog Agent + Cluster Agent: Full-featured SaaS platform (commercial license)
  • Prometheus: Open source metrics collection (Apache 2.0 license)
  • Vector: High-performance log/metrics router (MPL-2.0 license, by Datadog)
  • Combined Benefits: Enterprise features + vendor independence + high-performance data pipeline
  • OpenTelemetry Collector: Vendor-neutral telemetry (Apache 2.0 license)
  • Grafana: Visualization layer (AGPL v3 license)
  • Full Open Source Stack: Prometheus + OpenTelemetry + Vector + Grafana
  • Kubehound: Kubernetes attack path analysis (by Datadog, open source)