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Show HN: I Developed a 38K-Line Rust CLI Leveraging 3 AI Models as My Engineering Team

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Revolutionizing AI Agent Management: Introducing Eden-Skills

Frustrated with traditional AI agent skill managers? Meet Eden-Skills—designed to transform how we manage AI capabilities, drawing inspiration from Terraform’s approach to infrastructure.

Key Features:

  • Lightweight & Efficient: A ~10MB Rust binary leveraging Tokio, enabling pure Config-as-Code management.
  • Self-Healing Capabilities: Includes a doctor/repair command for fixing broken symlinks and drifted states effortlessly.
  • Docker Integration: Seamlessly injects into Docker containers with ease.

Innovative Development Process:
I orchestrated a unique three-model AI team using Role-Based Access Control (AI RBAC):

  • Scout (Gemini 3.1 Pro): Conducted market research.
  • Architect (Claude Opus 4.6): Drafted comprehensive behavior specs.
  • Builder (GPT 5.3/5.4): Implemented Rust code from frozen specs.

Explore the workflow, see the extensive documentation, and check out the open-source repo here: GitHub – Eden-Skills.

Ready to elevate your AI projects? Comment, share, and let’s innovate together! 🌟

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