Readit News > Look at the pretty pictures AI generates. That's where we are with code now.
Yep, that's where we are with code now. Pretty - until you look close. Dogshit - if you care to notice details.
A couple of years ago, I worked for an agency as a dev. I had a chat with one of the sales people, and he said clients asked him why custom apps were so expensive, when the hardware had gotten relatively cheap. He had a much harder time selling mobile apps.
Possibly, this will bring a new era of decent macOS desktop and mobile apps, not another web app that I have to run in my browser and have no control over.
> it needs to be "build the right things right", vs "build things right and then discover if they are the right things"
> But considering that AI will more and more "build things right" by default
I'm with Dijkstra because, like him, I believe we invented symbolic formalism for a reason. Like him, I believe that abstraction is incredibly useful and powerful, but it is about the right abstraction for the job.
[0] https://news.ycombinator.com/item?id=46911268
[1] https://news.ycombinator.com/item?id=46928421
[2] At the end of the day, that's what they are. Even if they produce code you're still treating it as a transpiler: turning natural language into code.
[3] Okay, technically it does but that's because probability has to do with this[4] and I'm trying to communicate better and most people aren't going to connect the dots (pun intended) between function mapping and probabilities. The lack of precision is inherently representable through the language of probability but most people aren't familiar with terms like "image" and "pre-image" nor "push-forward" and "pull-back". The pedantic nature of this note is precisely illustrative of my point.
[4] https://www.mathsisfun.com/sets/injective-surjective-bijecti...
Yeah, even if they're made to be 100% deterministic, you've now got a programming language whose rules are deterministic, but hard to understand. You've effectively pinned the meaning of the natural language in some way, but not a way that anyone can effectively learn, and one that doesn't necessarily match their understanding of the actual natural language.
For my whole life I’ve been trying to make things—beautiful elegant things.
When I was a child, I found a cracked version of Photoshop and made images which seemed like magic.
When I was in college, I learned to make websites through careful, painstaking effort.
When I was a young professional, I used those skills and others to make websites for hospitals and summer camps and conferences.
Then I learned software development and practiced the slow, methodical process of writing and debugging software.
Now, I get to make beautiful things by speaking, guiding, and directing a system which is capable of handling the drudgery while I think about how to make the system wonderful and functional and beautiful.
It was, for me, never about the code. It was always about making something useful for myself and others. And that has never been easier.
I don't think it's nearly as valuable to people who do enjoy writing code, because I don't think prompting an agent (at least in their current state) is actually more productive than just writing the code. So I don't see any reason to mourn on either side.
The bottleneck becomes how fast you can write the spec or figure out what the product should actually be, not how quickly you can implement it.
So the future of our profession looks grim indeed. There will be far fewer of us employed.
I also miss writing code. It was fun. Wrangling the robots is interesting in its own way, but it's not the same. Something has been lost.
Because a junior developer doesn't stay a junior developer forever. The value of junior developers has never been the code they write. In fact, in my experience they're initially a net negative, as more senior developers take time to help them learn. But it's an investment, because they will grow into more senior developers.
Your use of the word "should" is pointing to some ideal that doesn't exist anymore.
In current actual reality, you do whatever your employer gives you to do, regardless of your job title.
If you have 40 years of broad development experience but your boss tells you to build more CRUD web apps or start looking for another job in the current ATS hell, then the choice whether to use coding agents seems obvious to me.
Any drudgework you repeat two or three times should be encapsulated or scripted away, deterministically.
I feel like we've reached the worst age of computing. Where our platforms are controlled by power hungry megacorporations and our software is over-engineered garbage.
The same company that develops our browsers and our web standards is also actively destroying the internet with AI scrapers. Hobbyists lost the internet to companies and all software got worse for it.
Our most popular desktop operating system doesn't even have an easy way to package and update software for it.
Honestly I think it's under-engineer garbage. Proper engineering is putting in the effort to come up with simpler solutions. The complex solutions appear because we push out the first thing that "works" without time to refine it.
That is exactly the type of help that makes me happy to have AI assistance. I have no idea how much electricity it consumed. Somebody more clever than me might have prompted the AI to generate the other 100 loc that used the struct to solve the whole problem. But it would have taken me longer to build the prompt than it took me to write the code.
Perhaps an AI might have come up with a more clever solution. Perhaps memorializing a prompt in a comment would be super insightful documentation. But I don't really need or want AI to do everything for me. I use it or not in a way that makes me happy. Right now that means I don't use it very much. Mostly because I haven't spent the time to learn how to use it. But I'm happy.