“Vibe coding” is transforming scientific workflows by enabling code generation via conversation with an AI.

Researchers describe it as a powerful collaborator, but one that requires constant and careful checking.

🔗 https://www.nature.com/articles/d41586-026-01477-w

#AI #Science #Coding #ResearchTools #scientificworkflow

How to vibe code in science: early adopters share their tips

Using AI coding tools can speed up your work, but there are plenty of pitfalls.

🧠 Full-Stack Science — from raw data to the final PDF

While preparing the new version of my monograph, I realized something funny:
if I listed all the software I used, the “Used software” section would look more like a Linux manual than a scientific appendix.

Because, honestly — everything mattered.
From grep, awk, and apt, to PHREEQC, R, QGIS, and finally LaTeX.

Every single stage — data cleaning, modeling, visualization, mapping, typesetting — I did entirely on my own.
No outsourcing. No “sending for refinement.”
Just a full-stack, open-source workflow — from the first script to the final monograph PDF.

📘 Draft available on Zenodo:
🔗 https://zenodo.org/records/16741148

#OpenScience #IndependentResearch #Geochemistry #Hydrogeology #DataScience #PHREEQC #RStats #QGIS #Linux #LaTeX #EnvironmentalData #GeospatialAnalysis #FullStackResearch #ScientificWorkflow #Zenodo #SvystunovaGully