Comment on I Went All-In on AI. The MIT Study Is Right.
Evotech@lemmy.world 5 weeks agoI’m just not following the mindset of “get ai to code your whole program” and then have real people maintain it? Sounds counter productive
I think you need to make your code for an Ai to maintain. Use Static code analysers like SonarQube to ensure that the code is maintainable and that functions are small and well defined as you write it.
theneverfox@pawb.social 5 weeks ago
I don’t think we should be having the AI write the program in the first place. I think we’re barreling towards a place where remotely complicated software becomes a lost technology
I don’t mind if AI helps here and there, I certainly use it. But it’s not good at custom fit solutions, and the world currently runs on custom fit solutions
AI is like no code solutions. Yeah, it’s powerful, easier to learn and you can do a lot with it… But eventually you will hit a limit. You’ll need to do something the system can’t do, or something you can’t make the system do because no one properly understands what you’ve built
At the end of the day, coding is a skill. If no one is building the required experience to work with complex systems, we’re going to be swimming in a world of endless ocean of vibe coded legacy apps in a decade
I just don’t buy that AI will be able to take something like a set of State regulations and build a complaint outcome. Most of our base digital infrastructure is like that, or it uses obscure ancient systems that LLMs are basically allergic to working with
To me, we’re risking everything on achieving AGI (and using it responsibly) before we run out of skilled workers, and we’re several game changing breakthroughs from achieving that
MangoCats@feddit.it 5 weeks ago
I think complicated software has been an art more than a science, for the past 30 years we have been developing formal processes to make it more of a procedural pursuit but the art is still very much in there.
I think if AI authored software is going to reach any level of valuable complexity, it’s going to get there with the best of our current formal processes plus some more that are being (rapidly) developed specifically for LLM based tools.
And how do we surpass those limits? Generally: research. And for the past 20+ years where do we do most of that research? On the internet. And where were the LLMs trained, and what are they relatively good at doing quickly? Internet research.
So is semiconductor design, application of transistors to implement logic gates, etc. We still have people who can do that, not very many, but enough. Not many people work in assembly language anymore, either…
theneverfox@pawb.social 5 weeks ago
Yeah, that’s a lost tech. We still use the same decades, even century old, frameworks
They’re not perfect. But they are unchangeable. We no longer have the skills to adapt them to modern technology. Improvements are incremental, despite decades of effort you still can’t reliably run a system on something like RISK.