During October 2025, Agui contributed to the ISISNeutronMuon/MDANSE repository by enhancing resource management and code maintainability. Agui implemented environment variable-based threading limits for OpenMP, BLAS, and MKL, allowing the application to control CPU usage dynamically and improving performance predictability in multi-core environments. Using Python, Agui also refactored the geometry module by removing the unused and inaccurate random_points_on_disk function, simplifying the codebase and reducing maintenance overhead. The work demonstrated a focus on code refactoring, environment configuration, and performance optimization, addressing both stability and clarity while laying groundwork for future improvements in production workloads.