[wirthal1990]

My experience was exactly the opposite—I came from the other side entirely. I had absolutely no programming knowledge, and until three weeks ago, I didn’t even know what a Parquet file was.

While reviewing a deep research project I had started, I stumbled upon an inefficiency: The USDA’s phytochemical database is publicly accessible, but it’s spread across 16 CSV files with unclear links. I had the idea to create a single flat table, enriched with data from PubMed, ChEMBL, and patents. Normally, a project like this would have been completely impossible for someone like me—the programming hurdle is far too high for me.

With Claude Opus 4.6, I was actually able to focus entirely on the problem architecture: which data, from where, in what form, for which target audience. Every decision about the system was mine. Claude Opus took care of the implementation.

I’m probably the person your debate about “journey vs. destination” wasn’t meant for. For me, the destination was previously unattainable. My journey became possible, because the AI took over the part that I could never have implemented anyway.