What's your company directive on LLM / 'AI' Coding Use

Question

Now that the initial hype of LLM's has sorta died down and the dust has settled, what are the real-world use-cases that actual developers are using LLMs for?And looking ahead, what are the future applications of this tech that you are looking forward too that's just not quite there yet. For example, maybe Code Reviews, or even replacing scrum-masters (though that is not dev related, just another 'future example').TY!

fullstick · Accepted Answer

I find co-pilot to be useful. It forces me to write a lot of comments and the comments drive the code. For new personal projects, chatGPT can get some ideas going fast, but I end up changing a lot of it. ChatGPT does show me a lot of new libraries and parts of languages I didn't know about before. I wouldn't use LLMs on code review because I need to use my human brain to check the work of co-pilot that my coworkers are using. Code review and QA are the last line of defense against LLM shenanigans.