Aomar enhanced the developer experience in the ucb-bar/IsaacLab repository by delivering targeted documentation updates for multi-GPU training workflows. Focusing on distributed training with PyTorch and JAX, Aomar clarified the use of Torchrun and the skrl library, providing practical examples and troubleshooting guidance. The documentation, written in RST, detailed environment setup and command usage, aiming to reduce onboarding friction and support requests for distributed workloads. While no bugs were fixed during this period, the work demonstrated depth in understanding distributed systems and developer needs, resulting in more accessible and maintainable documentation for users working with multi-GPU configurations.