This matches my experience when building my first real project with Claude. The architectural decisions were entirely up to me: I researched which data sources, schema, and enrichment logic were suitable and which to use. But I had no way of verifying whether these decisions were actually good (no programming knowledge) until Claude Opus had implemented them.

The feedback loop is different when you don’t write the code yourself. You describe a system to the AI, after a few lines of code the result appears, and then you find out whether your own mental model was actually sound. In my first attempts, it definitely wasn’t. This friction, however, proved to be useful; it just wasn’t the friction I had expected at the beginning.