During February 2026, Roman Kaczmarek developed a reinforcement learning visualization feature for the Genesis-Embodied-AI/Genesis repository. He implemented video frame recording within the manipulation example, enabling users to capture and review agent performance throughout the RL workflow. By integrating a --record capability with minimal code changes, Roman improved experiment reproducibility and facilitated more effective debugging and analysis. His work focused on Python and leveraged skills in machine learning and reinforcement learning instrumentation, emphasizing environment integration and commit-driven development. Although the project scope was limited to a single feature, the solution addressed observability and data-driven decision-making for RL experiments in Genesis.