[ssijak]

I can do that manually with existing tools in half an hour. Endpoints change very rarely, once you setup your "view" of that endpoint you are mostly done for a long time, with some smaller changes over time.

Also if I wanted to go AI route, I can ask Cloude Opus or GPT4 : "Here is an endpoint that returns this type of data <paste data type here>, make me a React component that fetches this data and presents it in searchable table using shadcn"

It will get me 80-90% there, it would need just a little manual tweaking to conform to the current project code standards.

[solias99]

This is the exact thing I've personally tried several times and it doesn't work well. But it works with a prompt in our app right now.

Some reasons listed below:

1. Gpt hallucinates shadcn's big data table implementation more often than not. Also, you don't have props for everything by default (page size, filtering, sticky columns etc)

2. We have certain rules we ask our AI to stick to, such as always putting a table in a card and consistent padding. So there's lesser cognitive effort in you thinking about how to style your tools.

3. Current LLMs are shaky with next14 right now, especially on where to use server and client components.