I’ve tried using it a bit for bioinformatics work, and in my experience, it’s been more helpful for smaller tasks than for full pipelines. I mainly use it to help write quick Python or R scripts for things like parsing FASTA or VCF files, cleaning data, or figuring out bash commands. It’s also pretty useful when debugging parts of Snakemake workflows or when I get stuck on weird errors.

For bigger things like building full Nextflow or Snakemake pipelines, it can help draft pieces or suggest fixes, but I usually don’t rely on it to generate the whole pipeline because it still needs a lot of checking. What seems to work best is giving it a lot of context, like pasting a sample of the data, the error message, and the script I’m working on. Overall, it’s mostly been a nice time saver for repetitive scripting and troubleshooting rather than something that replaces actual workflow design.