Comment by Qhemlomo
1 month ago
How is this a gimmick?
It changes my whole profession on a level i couldn't even imagine how we would 'solve' software engineering.
1 month ago
How is this a gimmick?
It changes my whole profession on a level i couldn't even imagine how we would 'solve' software engineering.
We still didn't "solve" software engineering, try to give Claude code access to your friends or family and see what they do with it.
My partner wrote an android app which was doing what she wanted to do. She did this experiment 5 month ago and she did this in one day.
My wife has 0 knowledge how any of this works.
That was shocking to see.
Progress is not stoping and Fable proves that.
You can scaffold out a simple app pretty easily. Anything large or complex things break down. If you don’t know what you’re doing you end up leaking secrets like the dozens of examples we’ve seen so far.
5 replies →
You could always do this, though.
Before gen code killed the freelance business model, there were hoards of people on Upwork/Fiverr willing to fuck other freelancers over and underpay themselves to make whatever barely-working slop you wanted.
Hell, before managers got the idea of AI layoffs, they had been off-shoring to low-quality code sweatshops for years. That was supposed to kill software engineering in the States 20 years ago. And it was just as frustrating (if not moreso) to get them to actually fulfill the project requirements.
I'd say creating a project is 5% of the job and maintaining it over time 95% of it.
It's true that they can start amazing projects without guidance but then the real work begins.
5 replies →
My non-programmer friends have created:
- A mod manager for Vintage Story in Swift.
- A GameShark Pro adapter using an ESP32 that hosts a web app for dumping N64 ROMs and searching for cheat codes.
Has it been released to the public yet? Genuine question. Because if you didn't try it yourself, you have to rely on others' reports. And different people who tried it on different projects got different results, leading to different conclusions.
it was released a few hrs ago as "Fable 5". it's an incremental improvement over Opus 4.8.
> It changes my whole profession on a level i couldn't even imagine
I assure, it doesn't.
I'm happy to have a discussion with you if you bring any argument.
Before GPT what would have been your choise of architecture, setup, alogorithm if someone comes to you and says "write a tool/system which can generate code" "what do you mean generate code? How do i control it?" "by writing what you want in natural language" "puh 50 years of development, 100 billion, top tier team of linguists and software engineers perhaps?"
Ask StackOverflow if they think it didn't change anything for them.
Programming is the reification of decision-making processes. If you don't understand the decision-making process that you want, you get a different one, which at best approximates the one you want but couldn't articulate.
If you do this with COBOL or Python, at least you get consistent operation and errors when you're wrong. If you do this with any LLM, consistency is dropped in favor of obsequiousness.
The base problem is that people aren't equipped naturally to think about all the details of their problems.
1 reply →
It already has!
It’s mind-boggling that anyone could deny this in mid-2026. Virtually every software engineer I know is no longer writing the majority of their code. Many are not writing any code, myself included. And I’m a staff engineer with 20 yoe, formerly at big tech, and now building a (profitable) SaaS of my own. The way I work is wildly different from a year ago.
And no one is going back.
My experience is different. I hear a lot of developers, old and young, scaling back their LLM use now that the bills are coming in. And I don't just mean the financial bills, mostly it's about them realising that there's a lot lf shit they need to fix that the model can't handle, and they no longer understand it enough to either do it or properly prompt a model to.
The most prevalent trend I see around me today is that people are going back to using the LLMs as research, review, and sketching tools, but writing most actual code themselves again. And it's not just AI skeptics doing that, it's those who went all-in and are finally seeing the downsides and limitations of this technology, now that the hype is waning.
[dead]
For starters it makes you able to bypass having to go on Reddit to find incomplete trace of solution to some niche problem and acts as a sophisticated (but sometimes wrong) search engine. This already is worth every penny and improved my mental health immensely.
Fortunately you still get the reddit experience with AI.
https://www.reddit.com/r/ChatGPT/comments/1hxa3kj/ai_reached...
I am not clicking that link. I have blocked all reddit domains in my router, using AI to retrieve answers from Reddit.
You can copy paste it in reply if you want
1 reply →
[dead]