datasette-paste-table VS gpt-generated-commit-messages

I often use it as a thesaurus. "Words that mean X" or even "that situation X me and I was annoyed - give me options for X"

For programming, all sorts of things. I use it all the time for programming languages that I'm not fluent in, like AppleScript or bash/zsh/jq. One recent example: https://til.simonwillison.net/gpt3/chatgpt-applescript

I use it as a rapid prototyping tool. I got it to build me a textarea I could paste TSV values into to preview that data as a table recently, one prompt produced exactly the prototype I wanted: https://github.com/simonw/datasette-paste-table/issues/1

I use it for brainstorming. "Give me 40 ideas for Datasette plugins involving AI" - asking for 40 ideas means that even if the first ten are generic and obvious there will be some interesting ones further down the list.

I used it to generate an OpenAPI schema when I wrote my first ChatGPT plugin, see prompt in https://simonwillison.net/2023/Mar/24/datasette-chatgpt-plug...

The past week I used GPT for about 80% of my commit messages. I put it in a terminal command so all I type is 'commit' and that's equivalent to: git add . && git commit -m "message" && git push.

The message is generated automatically via the GPT API.

I made it public in case anyone else wants to try/use/fork it:

https://github.com/stevecondylios/gpt-generated-commit-messa...

It's very convenient for README and docs changes; small changes whose commit message really doesn't matter.