July 2025 monthly summary for precicehub.io.git. Delivered targeted improvements to the CoolMUC PreCICE installation workflow on the CoolMUC HPC cluster. Updated installation instructions by revising module loads, CMake configurations, and environment variable exports to reflect current dependencies and best practices, ensuring users can correctly install preCICE on CoolMUC. This work enhances deployment reliability, reduces onboarding time for new users, and lowers support overhead. Commits associated with this work are captured under: 50f9d95b580e079dba35f51980ab6cd3243a5733.

April 2025: Focused on improving the build experience for precicehub.io by updating Boost build/install guidance. The changes clarify dynamic linker configuration for custom installation prefixes and emphasize exporting CMAKE_PREFIX_PATH to ensure BoostConfig.cmake is locatable. These docs reduce setup friction for new contributors and speed up builds.

March 2025: Delivered documentation enhancements for precicehub.io to streamline onboarding and multi-run workflows. Improved installation guidance and external resources by linking prepesthel docs and recommending conda-forge/Miniforge, with updated environment setup commands and clearer dependency sources. These changes reduce onboarding time, increase reliability for multi-preCICE runs, and make it easier for users to set up a consistent development environment.

January 2025 (precice/tutorials): Focused on stabilizing tutorials configuration by aligning the Precice Adapter configuration with the updated schema. No new features were released this month; a critical maintenance fix was implemented to remove an unnecessary option from precice-adapter-config.json to prevent misconfigurations and maintain compatibility with the new schema.

November 2024 – Precice/tutorials: Delivered installation resilience, expanded numerical methods, and strengthened code quality. Highlights include relaxing FEniCS dependency requirements for broader compatibility across tutorials; adding RK4 and RadauIIA time-stepping for oscillator-overlap and refactoring time stepping into a dedicated timeSteppers.py module; fixing a bug that duplicated the final time-step data; and pursuing code quality improvements (static typing with numpy.typing, mypy config, and cleanup). These changes enhance user onboarding, reliability of simulation results, and maintainability of the codebase.