major changes

- Added documentation via mdbook
- Created basic VS code extension
- Implemented if else blocks and changed some syntax
- fixed some issues

docs/src/examples/data-pipeline.md

@@ -0,0 +1,52 @@
+# Data Pipeline
+
+> ⚠️ This documentation is AI-generated and may contain errors.
+
+Data processing pipeline showing how to process multiple batches in parallel.
+
+## Script
+
+See `/examples/data_pipeline.rsh` in the repository.
+
+```rush
+#!/usr/bin/env rush
+
+DATASET = "user_analytics"
+INPUT_DIR = "$HOME/data/raw"
+OUTPUT_DIR = "$HOME/data/processed"
+BATCH_SIZE = "1000"
+
+echo "Data Processing Pipeline: $DATASET"
+
+# Pre-processing stages
+for stage in validate clean normalize {
+    STAGE_UPPER = "$stage"
+    echo "  Stage: $STAGE_UPPER"
+}
+
+# Process batches in parallel
+BATCH_1_IN = "$INPUT_DIR/batch_001.csv"
+BATCH_1_OUT = "$OUTPUT_DIR/batch_001.json"
+# ... (define other batches)
+
+parallel {
+    run {
+        echo "[batch_001] Processing $BATCH_1_IN -> $BATCH_1_OUT"
+        echo "[batch_001] Transformed 1000 records"
+    }
+    
+    run {
+        echo "[batch_002] Processing $BATCH_2_IN -> $BATCH_2_OUT"
+        echo "[batch_002] Transformed 1000 records"
+    }
+    # ... (more batches)
+}
+
+echo "All batches processed successfully"
+```
+
+## Key Concepts
+
+- **Parallel data processing**: Process multiple batches simultaneously
+- **Path construction**: Building input/output file paths
+- **Pipeline stages**: Sequential setup, parallel processing, sequential summary