“Getting from a rough idea to a working proof of concept of something like this with less than 15 minutes of prompting is extraordinarily valuable. This is exactly the kind of project I’ve avoided in the past because of my almost irrational intolerance of the frustration involved in figuring out the individual details of each call to S3, IAM, AWS Lambda and DynamoDB.”

This describes exactly why I think that the current generation of models is already immensely valuable. There are a range of technologies and frameworks that would deliver me value if I would spend the time to adapt them to my use case. Normally this would involve a lot of googling and reading forum posts that only describe my problem to 80%. Having an LLM to guide you in the right direction, lowers the bar and time investment enough to allow much easier and quicker experimentation.

A LLM-generated proof-of-concept, followed by understanding the solution, and then a refining is what works for me. I used it to implement changes on this blog (don’t know much about Hugo), building simple apps at work (with retool), debugging package errors (homebrew, pyenv), etc.