Worked on the cctbx/cctbx_project repository to deliver an enhancement for stills spot prediction by expanding the Nave-parameter envelope, aiming to improve signal capture and potentially increase multiplicity for higher-quality structure solutions. The approach involved updating the integration workflow to incorporate the expanded envelope and integrating this new parameter into the MPI-based cctbx.xfel.mpi_integrate pipeline. Robust error handling was added to the integration process to reduce failure modes and improve reliability. The work was implemented using Python, leveraging skills in data integration and scientific computing, and focused on expanding parameterization and defensive programming within the existing scientific software infrastructure.