Extending torch.nn.Module requires calling super() in __init__ for proper initialization and parameter tracking. Register trainable parameters as attributes, avoid dynamic layers in forward. Use modular submodules, explicit weight initialization, device-agnostic coding, and clean API design for robust PyTorch models.