As a professional 2x4 nailer and gluer, I assure you that I have a ton more deliverables for my client. The downside is that now I actually have to put some thought into my work; you know, put some engineering work into it.

The upside is that I can produce a shit-ton of one-shot code in record time, so I've got time to face the downside.

I had a Claude Project write a number of CLI tools that interact, eg

  search_documents "search term" --bm25 --table-prefix some_project | fulltext -hl -v | less

  search_documents "search term" --bm25 --table-prefix some_project | metadata

It inserts documents by piping paths into another script, eg,

  find /some/path/*.pdf | insert_documents --table-prefix some_project

The documents end up in a Postgres database with pg_search bm25, tsvector, and semantic embeddings (from a local model).

I would estimate that I only wrote 5% of the code in the project with the rest coming from the LLM.

Sure, it's just a few hundred lines of code but it's been stable and helpful to get through some very large tranches of discovery material.

I had Claude write me a Bash script for running prompts (and images) against Google Gemini this morning - I really like it for Bash, because I never committed any of the Bash idioms to memory myself. https://til.simonwillison.net/llms/prompt-gemini

Cool to see ParadeDB is now in Claude/ChatGPT :)

I think being able to build something in less than three minutes that would take a CS student a week is pretty worthwhile, personally.