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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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@ -49,6 +49,38 @@ Imagine you're building a system where **Task C** can't start until **Task A** a
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| Hard to find bottlenecks | **Attention scores** highlight important nodes |
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| Complex setup | `npm install` and go |
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## Key Capabilities
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### 🧠 Self-Learning Optimization
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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.
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```typescript
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// Get importance scores for each node
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const scores = dag.attention(AttentionMechanism.CRITICAL_PATH);
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// Nodes on the critical path score higher → optimize these first!
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```
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### ⚡ WASM-Accelerated Performance
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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.
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### 🔄 Automatic Cycle Detection
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DAGs can't have cycles by definition. rudag **automatically prevents** invalid edges that would create loops:
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```typescript
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dag.addEdge(a, b); // ✅ OK
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dag.addEdge(b, c); // ✅ OK
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dag.addEdge(c, a); // ❌ Returns false - would create cycle!
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```
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### 📊 Critical Path Analysis
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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.
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### 💾 Zero-Config Persistence
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Your DAGs automatically save to **IndexedDB** in browsers or **files** in Node.js. No database setup, no configuration - just works.
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### 🔌 Serialization & Interop
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Export to **JSON** (human-readable) or **binary** (compact, fast). Share DAGs between services, store in databases, or send over the network.
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## Installation
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```bash
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