Moving forward, we as a community should explore mechanisms to make OSS sustainable, for example, by creating a foundation for proteomics software to support the maintenance of OSS in our field. Emphasizing scalable, user-friendly software with complex features hidden behind intuitive interfaces will help ensure widespread adoption and success . This approach can also counteract negative perceptions of the quality of academic or OSS in mass spectrometry . Additionally, we expect that AI-assisted software development will enhance the quality of proteomics OSS by automating error detection, optimizing code performance, and enhancing feature integration-ultimately boosting reliability and user satisfaction. Regardless, let us unite in our commitment to open science and pursue a shared, sustainable future in our exploration of the proteome.