I wanted to explore the extent to which Claude Code could build a data pipeline using dbt without iterative prompting. What difference did skills, models, and the prompt itself make? I’ve written in a separate post about what I found (yes it’s good; no it’s not going to replace data engineers, yet). In this post I’m going to show how I ran these tests (with Claude) and analysed the results (using Claude), including a pretty dashboard (created by Claude):
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