yes, this. the backlog of software that needs to be built is fucking enormous.
you know what i'd do if AI made it so i could replace 10 devs with 8? use the 2 newly-freed up developers to work on some of the other 100000 things i need done
you know what i'd do if AI made it so i could replace 10 devs with 8? use the 2 newly-freed up developers to work on some of the other 100000 things i need done
It's not about a discrete product or project, but continuous improvement upon that which already exists is what makes up most of the volume of "what would happen if we had more people".
- a good LIMS (Laboratory Information Management System) that incorporates bioinformatics results. LIMS come from a pure lab, benchwork background, and rarely support the inclusion of bioinformatics analyses on samples included in the system. I have yet to see a lab that uses an off-the-shelf LIMS unmodified - they never do what they say they do. (And the amount of labs running on something built on age-old software still in use is... horrific. I know one US lab running some abomination built on Filemaker Pro)
- Software to manage grants. Who is being owed what, what are the milestones, who's looking after this, who are the contact persons, what are the milestones and when to remind, due diligence on potential partners etc. I worked for a grant-giving body and they came up with a weird mix of PowerBI and a pile of Excel sheets and PDFs.
- A thing that lets you catalogue Jupyter notebooks and Rstudio projects. I'm drowning in various projects from various data scientists and there's no nice way to centrally catalogue all those file lumps - 'there was this one function in this one project.... let's grep a bit' can be replaced by a central findable, searchable, taggable repository of data science projects.
Oh... oh my. This extends so far beyond data science for me and I am aching for this. I work in this weird intersection of agriculture/high-performance imaging/ML/aerospace. Among my colleagues we've got this huge volume of Excel sheets, Jupyter notebooks, random Python scripts and C++ micro-tools, and more I'm sure. The ones that "officially" became part of a project were assigned document numbers and archived appropriately (although they're still hard to find). The ones that were one-off analyses for all kinds of things are scattered among OneDrive folders, Zip files in OneDrive folders, random Git repos, and some, I'm sure, only exist on certain peoples' laptops.