(no title)
hnthrowaway6543 | 1 year ago
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
hnthrowaway6543 | 1 year ago
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
ConspiracyFact|1 year ago
zdragnar|1 year ago
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".
hadlock|1 year ago
a_bonobo|1 year ago
- 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.