I'm one of them. I've been coding for 22 years and now I use copilot all day every day. It gets stuff wrong, but I only ask it things I expect it to do well at, and I find it easy ignore or verify the bad answers.
I've never used electron and I got a small electron project up and running considerably faster than I would have otherwise.
I did some consulting for a project written in Vue and I know React, I got a good summary of the differences in the concepts, how to layout and structure files, etc. I had to modify a PHP project that was hosting Vue and I used chatgpt to find out where to look in the project to point to where I needed to look in the code to make the changes in the code.
Just this morning I needed to use git bisect but I couldnt remember the exact syntax, I could have googled it and gone through the verbose documentation, the stackoverflow reply, or a long blog post. Instead, I got exactly what I needed back in seconds.
I had to develop a migration plan for another project, I already had a rough idea of what to do, but I asked chatgpt anyway because why not, it takes seconds. It came up with what I had thought of already, some things I didn't need, and some things I hadn't thought of.
I didn't realise we were being that pedantic about the phrasing. I had 3 months to evaluate a project, it took 1 month, I got asked to create a technical document for a migration in 2 weeks, it took 1 week. I wrote a prototype in a framework i didnt know and did it in less time than I could in a framework I know well without AI.
As someone who often forgets the syntax for a for loop in a language I've been using every day for 10 years, for some people the muscles were never there in the first place.
I don't really want to, which was kind of my point. I don't want to spend 5 days in the gym to lift a heavy box once a year, it just doesn't make sense.
I dont think people (in this context) are suggesting replacing the junior developers with AI, but to treat the AI like a junior: to be clear with what you need, and to be defensive with what you accept back from them; to try and be conscious of their limitations when asking them to do something, and to phrase your questions in a way that will get you the best results back.
They might not be but using language which equates these generative LLMs with junior developers does allow a shift of meaning to actually equate juniors with LLMs, meaning they are the interchangeable, and therefore generative LLMs can replace juniors.
It's worth bearing in mind that as much as we don't like it, a lot of the time the goal is passable slop. Mcdonalds is doing well, and they arent focussing on increasing the quality of their slop unless theres some public outcry.
I once read a comment, here, that said, "If the code quality on your MVP doesn't physically disgust you, you're probably focusing on code quality too much."
I think that sort of sums up the zeitgeist. I'm also not a fan of the MVP Model. I don't think it results in good work.
I saw your reddit comment, but I couldn't find the source for the TCL 65 inch? For me im tempted to go from 43" 4k to 55" 8k, my only concern is the edges being too far away unless its curved.
Maybe if you put what your working on at the top of the screen and only looked at that one thing it would be a problem, but realistically you use a bigger screen the same way you'd use a bigger desk: you dont put what you're working on out of reach, you just have more room for the tools for what you're working on.
Its not a problem until you want to watch a movie or play a game, then you have a black bar down the middle. Compared with the opposite or just having one screen to split as youd like virtually.
Yeah but are those valid reasons? Bandwidth is unlimited for most dedicated servers, and 190 GB for 7 years of data isn't a lot; it could fit on my phone 5 times.
190GB in the database. That didn't include media. I'm assuming the media part is not served from the same host since that can easily overshadow other traffic.
I've never used electron and I got a small electron project up and running considerably faster than I would have otherwise.
I did some consulting for a project written in Vue and I know React, I got a good summary of the differences in the concepts, how to layout and structure files, etc. I had to modify a PHP project that was hosting Vue and I used chatgpt to find out where to look in the project to point to where I needed to look in the code to make the changes in the code. Just this morning I needed to use git bisect but I couldnt remember the exact syntax, I could have googled it and gone through the verbose documentation, the stackoverflow reply, or a long blog post. Instead, I got exactly what I needed back in seconds. I had to develop a migration plan for another project, I already had a rough idea of what to do, but I asked chatgpt anyway because why not, it takes seconds. It came up with what I had thought of already, some things I didn't need, and some things I hadn't thought of.