That's just business owners and C-suite pocketing the difference while they fire staff and replacing it with AI. At some point somebody would have to start asking "business" some tough questions.
I am. I have Codex running, doing some tasks which I don't care much about, but anything I want to understand I write myself.
Same thing with hobby projects - I might ask ChatGPT or Gemini some questions about best practices in Swift for example, but writing code is done by hand.
As others said - if you don't use it, you'll lose it. And I'd rather keep my skills up to date.
You're not alone. This is the reason why I switched from VSCode to nvim (AstroNvim to be specific). It has all the things I need with the ability to add any extra plugins necessary while using less resources.
I can't tell how much less resources it uses - haven't really tested that. To be fair to VSCode often times biggest resource hog is various language servers.
The desire to get rid of software engineers is bizarre - because at the root of it, developers were there not to just write the code, but to ask right questions and based on these question build right things.
I've met in my professional life some managers or other middlemen who would be profoundly incapable of producing correct software no matter how smart of an AI agent they have access to. One of those - you don't know what you don't know.
But, I guess this is the world we live in now. Going to be Mortal Kombat for positions in companies where software engineers are actually valued.
I don't have an answer about the stage when something should be considered authored by AI - we are in an uncharted territory on this.
There are some precedents and rulings related to copyright and AI, so we have at least some rubric by which "authorship" can be determined. But when it comes to AI doing polishing of existing code - that is less certain.
Don't think calling a PR written by AI is the same thing as using a "tool". If code is largely generated by AI means that AI was an author and not you with some tool.
I am in a process of upgrading fairly big Vue 2 app (technically 2 apps, where one is not traditional and the other uses Inertia) to Vue 3.
It is a fairly painful process - I am using Codex and Claude as a first pass for converting things, but everything has to be checked manually and often fixed or rolled back to try again. Too often instead of "removing" piece of code that is not necessary anymore, AI would try to add a 100 line workaround for it because it would really rather add things than remove them.
It is, however still a faster process than doing manual rewrite. Smaller components are a breeze to convert from older Vue 2 to Vue 3 composition API.
Rewriting entry point app.ts with bunch of custom plugins was a horrendous experience that eventually was done manually. Move from Vuex to Pinia was also 50/50. Some things were easy, some things were not and had to be done manually.
Then there's a process of switching from unsupported packages which is a whole other can of worms.
Overall - if not for AI I'm not sure I'd have gone with an upgrade at this point. Yes it requires careful review and testing, but a ton of trivial stuff was done very quickly.
It's a an all-in-one kind of system where you have p2p payments and traditional online payments (like what you would do when making payment for a product on some e-commerce shop).
Plus some additional features like payments through QR.
Important point is that study was done on participants with average age of 57. And by "substantial" benefit they mean reduction in cardiovascular events by 30% compared to around 10% for people who do 150 minutes of exercise a week.
I wonder if healthy diet also plays role in the outcome.
From my personal experience if deployment strategy is thought through then Docker running through Compose can handle few hundreds of thousand of users per day without an issue and probably could handle more with proper hardware upgrades.
The ratio is certainly surprising to me. I thought there would be some people chipping in who don't have issues with occasional alcohol consumption that doesn't affect their life in a negative way.
This comments section is bizarre in general. Very few comments from people who don't seem to have an issue with control over their alcohol consumption where they can enjoy a glass without it becoming a problem.
Naturally it's good that people who do have a problem can recognize it and stop it from affecting their life, but I feel like there has to be more people who are perfectly OK with irregular consumption of light amounts of alcohol as part of a social activity.
I don't know about others, but I use Copilot more often than other apps because of its tight integration with the VS Code itself where I still spend most of my time working on other things while letting AI do some task that I decided to delegate to it.
Book learning to me seems like a compression of knowledge that had to be acquired through many years of experimentation and observation. But knowledge is not an experience itself.
Take juggling for example - something that was on HN homepage last week. You can learn everything you need to know about juggling though a post or a book or an educational video. But can you juggle after all that book learning? Not at all - to be able to juggle one has to spend time practicing and no amount of reading can help meaningfully compress that process.
Muscle memory required for juggling is not a 1:1 correlation to experience, but I feel like it's close enough to it.
I suppose, yes, AI was like a kickstart. But the point is - he didn't just stick to AI, he realized that in terms of skill and fulfillment it's a no-go direction. Because you neither learn anything, nor create anything yourself.