fix: Use concise module titles instead of verbose ones

- Changed all module titles to be short and clean (e.g., 'Autograd' not 'Autograd - Automatic Differentiation')
- Updated metadata generation template to use concise titles by default
- Fixed CLI reference in metadata generator to use new hierarchical structure
- Titles are now consistent: just the module name capitalized
- Detailed descriptions remain in the description field where they belong

bin/generate_module_metadata.py

@@ -18,7 +18,7 @@ def generate_metadata_template(module_name: str, interactive: bool = False) -> s
     # Default values
     defaults = {
         'name': module_name,
-        'title': f"{module_name.title()} - Brief Description",
+        'title': module_name.title(),  # Just the module name, capitalized
         'description': f"Implement {module_name} functionality for TinyTorch",
         'version': "1.0.0",
         'author': "TinyTorch Team",
@@ -176,7 +176,7 @@ def main():
     
     print(f"✅ Generated metadata template: {output_path}")
     print(f"📝 Please edit the file to customize the metadata for your module")
-    print(f"🧪 Test with: python bin/tito status --metadata")
+    print(f"🧪 Test with: python bin/tito module status --metadata")
 
 if __name__ == "__main__":
     main() 

modules/activations/module.yaml

@@ -3,7 +3,7 @@
 
 # Basic Information
 name: "activations"
-title: "Activations - Mathematical Functions for Neural Networks"
+title: "Activations"
 description: "Implement the mathematical functions that give neural networks their power to learn complex patterns"
 version: "1.0.0"
 author: "TinyTorch Team"

modules/autograd/module.yaml

@@ -3,7 +3,7 @@
 
 # Basic Information
 name: "autograd"
-title: "Autograd - Automatic Differentiation"
+title: "Autograd"
 description: "Implement automatic differentiation for neural network training - the engine that makes backpropagation possible"
 version: "0.1.0"
 author: "TinyTorch Team"

modules/layers/module.yaml

@@ -3,7 +3,7 @@
 
 # Basic Information
 name: "layers"
-title: "Layers - Neural Network Building Blocks"
+title: "Layers"
 description: "Build the fundamental transformations that compose into neural networks - Dense layers and activation functions"
 version: "1.0.0"
 author: "TinyTorch Team"

modules/setup/module.yaml

@@ -3,7 +3,7 @@
 
 # Basic Information
 name: "setup"
-title: "Setup - TinyTorch Development Workflow"
+title: "Setup"
 description: "Learn the complete TinyTorch development workflow while introducing fundamental programming concepts"
 version: "1.0.0"
 author: "TinyTorch Team"

modules/tensor/module.yaml

@@ -3,7 +3,7 @@
 
 # Basic Information
 name: "tensor"
-title: "Tensor - Core Data Structure"
+title: "Tensor"
 description: "Implement the fundamental data structure that powers all ML systems - N-dimensional arrays with ML-specific operations"
 version: "1.0.0"
 author: "TinyTorch Team"