If your remote is completely empty and has no commits, you can just push normally. If it has an auto-generated “initial commit” (pretty sure Github does something like that), you could force push, or merge your local branch into the remote branch and push normally. I think cloning the repo and copying the contents of your local repo into it is the worst option: you’ll lose all local commits.
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There’s one valid use-case for LLMs: when you have writer’s block, it can help to have something resembling an end product instead of a blank page. Sadly, this doesn’t really work for programming, because incorrect code is simply worse than no code at all. Every line of code is a potential bug and every line of incorrect code is a guaranteed bug.
I use an LLM with great success to write bad fanfiction though.
You can save time at the cost of headaches, or you can save headaches at the cost of time. You cannot save both time and headaches, you can at most defer the time and the headaches until the next time you have to touch the code, but the time doubles and the headaches triple.
Time to read Neuromancer again. It’s such a perfect cyberpunk novel, it’s weird that it didn’t get a movie adaptation with terrible CGI in the 90s.
I just reply to things that show up my feed honestly and pretty randomly
No one asked you to and in fact temp banned you for it, so try to read the room next time
Why the hell would you go on a book community, open a discussion post that is clearly asking for personal opinions and go “I dunno lol go ask chatgpt”. I would’ve banned you too tbqh.
“I am based and I have good taste”
Zendaya is a former Disney Channel star who is best known for voicing Shrek’s daughter Felicia in the recently released teaser for Shrek 5.
It’s definitely possible to store the stories in columns, but there’s also very little reason to do it. I think filepath in SQL and the stories in separate files in whatever format makes the most sense (html, txt, epub). If you ever want to search the stories for keywords, write a python script to build indexes in SQL, performs much better than doing LIKE on a maxed out varchar column.
I was thinking maybe Elastisearch, but I don’t know how much work that is to set up. For a hobby project, writing your own indexer isn’t too hard and might be more fun and easier to maintain than an industry-grade solution.