I used to be a regular backend developer, then I started a biology PhD. It seems like lots of people do computational work, but the landscape of devtools is pretty sparse. This is slowly changing (partly due to new AI-for-science interest), but it feels like there s still lots of low-hanging fruit to be built.E.g. data infrastructure, declarative tooling for experiments, visualisation tooling, data sharing/exchange services, provenance infrastructure for threading data generation through to ML model training, protocols for lab equipment, etc.So I m wondering if people on the more traditional side of tech are interested in building devtools/infra for science, what you see as the main barriers, whether there s anything specific you d like to build, and what would help you get started?For those working in science, I m also curious what tools you d like to see built, and whether you d be willing to collaborate with an engineer to make them happen?