Worked on the gensyn-ai/rl-swarm repository to streamline demo workflows and expand installation flexibility. Focused on simplifying the repops demo by removing outdated cleanup steps from the run_hivemind.sh script, which reduced unnecessary file deletions and package reinstalls. Introduced a Docker-based installation option, enabling users to configure GPU resources and allocate system resources more efficiently. These updates, implemented using Shell scripting, Docker, and Markdown for documentation, aimed to lower onboarding barriers and improve reproducibility for new users. The work addressed maintainability and scalability concerns, aligning with project goals of easier adoption and supporting more robust, scalable demonstration environments.