docs(rudag): add Key Capabilities section highlighting self-learning

- Self-Learning Optimization with ML-inspired attention
- WASM-Accelerated Performance (Rust/WebAssembly)
- Automatic Cycle Detection
- Critical Path Analysis
- Zero-Config Persistence
- Serialization & Interop

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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rUv 2025-12-30 16:31:26 +00:00
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@ -49,6 +49,38 @@ Imagine you're building a system where **Task C** can't start until **Task A** a
| Hard to find bottlenecks | **Attention scores** highlight important nodes |
| Complex setup | `npm install` and go |
## Key Capabilities
### 🧠 Self-Learning Optimization
rudag uses **ML-inspired attention mechanisms** to learn which nodes matter most. The more you use it, the smarter it gets at identifying bottlenecks and suggesting optimizations.
```typescript
// Get importance scores for each node
const scores = dag.attention(AttentionMechanism.CRITICAL_PATH);
// Nodes on the critical path score higher → optimize these first!
```
### ⚡ WASM-Accelerated Performance
Core algorithms run in **Rust compiled to WebAssembly** - the same technology powering Figma, Google Earth, and AutoCAD in the browser. Get native-like speed without leaving JavaScript.
### 🔄 Automatic Cycle Detection
DAGs can't have cycles by definition. rudag **automatically prevents** invalid edges that would create loops:
```typescript
dag.addEdge(a, b); // ✅ OK
dag.addEdge(b, c); // ✅ OK
dag.addEdge(c, a); // ❌ Returns false - would create cycle!
```
### 📊 Critical Path Analysis
Instantly find the **longest path** through your graph - the sequence of tasks that determines total execution time. This is what you need to optimize first.
### 💾 Zero-Config Persistence
Your DAGs automatically save to **IndexedDB** in browsers or **files** in Node.js. No database setup, no configuration - just works.
### 🔌 Serialization & Interop
Export to **JSON** (human-readable) or **binary** (compact, fast). Share DAGs between services, store in databases, or send over the network.
## Installation
```bash