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5 changes: 5 additions & 0 deletions .Jules/palette.md
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Expand Up @@ -6,3 +6,8 @@ This journal contains critical UX/accessibility learnings discovered during the
**Learning:** For infrastructure or backend projects without a functional frontend, the `README.md` serves as the primary User Experience (DX/UX). In these cases, micro-UX improvements shift from ARIA labels to scannability, clarity of project status, and informative (non-redundant) feature lists.

**Action:** Treat the `README.md` as the landing page. Use visual status indicators (badges), scannable bullet points with representative emojis, and ensure that headers provide a clear path for the user to understand the project's utility and maturity.

## 2026-05-20 - Visual Hierarchy in Architecture Diagrams
**Learning:** In complex orchestration diagrams, the primary component (e.g., 'Arbiter Core') can get lost among infrastructure and cloud-native layers. Using specific Mermaid styles (fill color, stroke width) and unique node shapes (double-circle) establishes a clear visual focal point.

**Action:** For the primary orchestration node in Mermaid diagrams, use double-circle syntax `((Node))` and apply styles `fill:#f96,stroke-width:4px` to distinguish it from secondary components.
32 changes: 30 additions & 2 deletions README.md
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@@ -1,14 +1,42 @@
# ⚖️ arbiter

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
![Status: Experimental](https://img.shields.io/badge/Status-Experimental-orange)
[![License: MIT - Open source software license](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

> [!CAUTION]
> This project is experimental and is not recommended for production use.

Dual nature—combining bare-metal virtualized hardware management (aSHARD VRAM pinning) with quantum-accelerated Kubernetes scheduling.

## 📖 Overview

`arbiter` is a specialized orchestration layer designed for high-performance computing environments. It bridges the gap between low-level hardware management and cloud-native scheduling, providing a unified interface for managing virtualized resources with precision.

## 🏗️ Architecture

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medium

While Mermaid diagrams are defined in text, GitHub renders them as SVGs which can be difficult for screen readers to interpret. To fulfill the accessibility goal mentioned in the PR description ('with proper description'), it is recommended to add a short text-based summary of the architecture flow. This ensures that users who cannot see the diagram still understand the relationship between the components.

Suggested change
## 🏗️ Architecture
## 🏗️ Architecture
The architecture follows a layered approach where Kubernetes workloads interface with the Arbiter Core. The Core utilizes a quantum-accelerated scheduler to manage bare-metal resources through aSHARD VRAM pinning.

```mermaid
graph TD
subgraph CloudNative [Cloud Native Layer]
K8s[Kubernetes Workloads]
end

subgraph Orchestration [Orchestration Layer]
Arbiter((Arbiter Core))
Scheduler[Quantum-Accelerated Scheduler]
end

subgraph Infrastructure [Infrastructure Layer]
VRAM[aSHARD VRAM Pinning]
Hardware[Bare-Metal Resources]
end

K8s --> Arbiter
Arbiter --> Scheduler
Arbiter --> VRAM
VRAM --> Hardware

style Arbiter fill:#f96,stroke-width:4px
```

## 🚀 Key Features

- 🏗️ **Infrastructure Awareness**: Directly manages bare-metal resources for maximum performance.
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