Finally good news about the AI doing something good for the people.
AI has been a boon for me and my non-tech job. I can pump out bespoke apps all day without having to get bent on $5000/yr/usr engineering software packages. I have a website for my side business that looks and functions professionally and was done with a $20 monthly AI subscription instead of a $2000 contractor.
I use AI daily as a senior coder for search and docs, and when used for prototyping you still need to be a senior coder to go from say 60% boilerplate to 100% finished app/site/whatever unless it's incredibly simple.
Nothing I do is in the tech industry. It's all manufacturing and all the software is for in-house processes.
Believe it or not, software is useful to everyone and no longer needs to originate from someone who only knows software.
You didn't give any examples of the valuable bespoke apps that you are creating by the hour.
I simply don't believe you, and the arrogant salesy tone doesn't help.
If your needs fit in a program that size, you are pretty much good to go.
It will not rewrite PCB_CAD 2025, but it will happily create a PCB hole alignment and conversion app, eliminated the need for the full PCB_CAD software if all you need is that one toolset from it.
Very, very, few pieces of software need to be full package enterprise productivity suites. If you just make photos black and white and resize them, you don't need Photoshop to do it. Or even ms paint. Any LLM will make a simple free program with no ads to do it. Average people generally do very simple dumb stuff with the expensive software they buy.
As far as enshittification goes, this was happening long before AI. It probably started with SEO and just kept going from there.
Yet we fail to see AI as a good thing but just as a jobs destroyer. Are we "better than" the people that used to fill toothpaste tubes manually until a machine was invented to replace them? They were just as mad when they got the pink slip.
I know you would like to believe that, but with the tools available NOW, that's not necessarily the case. For example, by using the Playwright or Chrome DevTools MCPs, models can see the web app are it's being created and it's pretty easy to prompt them to fix something they can see.
These models know the current frameworks and coding practices but they do need some guidance; they're not mindreaders.
Again it's the last 5% that takes 95% of the time, and those 5% i haven't seen fixed with Claude or Gemini, because it's essentially quirks, browser errors, race conditions, visual alignment, etc etc. All stuff that completely goes way above any LLM's head atm from what i've seen.
They can definitely bullshit a 95% working app though, but that's 95% from being done ;)