I understand how to turn the results of a select statement into an update statement, but the AI does it a hell of a lot faster.
I find if you give it small enough chunks, it’s easy enough to review. And even if you do have to correct, it’s generally easier to correct than it would be to write it all by hand.
Outside of my own specialty I can people in the software industry bogged down by managing excessive boilerplate. I think this happens most often in web dev and data science.
In my opinion this is an indication that the software tools for those ecosystems need improvement, but rather than putting in the design effort to improve the tools in the ecosystem, these Big Data companies see an opportunity to just throw LLMs at it and call it a commercial product.
I understand how to turn the results of a select statement into an update statement, but the AI does it a hell of a lot faster.
I find if you give it small enough chunks, it’s easy enough to review. And even if you do have to correct, it’s generally easier to correct than it would be to write it all by hand.
Outside of my own specialty I can people in the software industry bogged down by managing excessive boilerplate. I think this happens most often in web dev and data science.
In my opinion this is an indication that the software tools for those ecosystems need improvement, but rather than putting in the design effort to improve the tools in the ecosystem, these Big Data companies see an opportunity to just throw LLMs at it and call it a commercial product.