A solution for this in my opinion, is the same solution that everybody and their dog is afraid of taking their job: llms.
I'm not taking about "chatgpt, write me an android clone, make no mistakes". But large software projects do not have to be a solely large player game anymore. I think that with much and much less resources, there can be new alternative phone os'es either or not even based on android.
The biggest issue is market share and lock-in where this problem falls into. But this happens in every monopoly that exists. The technical barrier not a technical problem anymore, its now a political one.
Why not? I think we are perfectly capable on generating a test and validation environment that we can use for correctness. Most likely llms could do this better than engineers with zero to none domain and language knowledge can do these days. From that point on, rewrites would become feasable (not easy, feasable).
That's a good insight. But how to distinguish from the rest? It seems that making a spectacle will give you points, while boring but great software will be buried. I don't mind when people are not spending all their time on looking at every bit of code that get posted, but i'm more sad by the part that people will comment anyway (negatively) nevertheless.
Suppose you lost your phone. How would you cope with this situation? What is your laptop failed to start up? Would you have backups? Have you tried to restore them? Do you have a plan on how to get back up and running quickly?
There are a lot of things that can (and will) go wrong when it comes to computers, life, work, holiday and cats. This project will send you disaster drills when you least expect it to see how well prepared you are. It contains tips and tricks and you can score yourself and match against others on your preparedness level.
I've set this up as a small weekend side-project for two reasons: first, because i fail too often when it comes to disaster prepping myself, and secondly, I was very curious to see if I could use LLM systems like chatgpt and deepseek to "generate" apps/sites. Turns out that it wasn't too bad, although i wouldn't fire my whole development team just yet.
I have always wondered if you REALLY could use LLM systems like chatgpt and deepseek to "generate" a complete website/app. I'd got an idea for a small side-project, so I decided to see if I can do it without coding myself (too much) and let most of the work be done by AI's. The outcome: maybe doable, but i wouldn't fire my whole development team just yet.
I was surprised with the actual code that was generated (symfony7), and even though it sometimes got things completely wrong, i found that with some nudges in the right direction, it ultimately could figure things out well enough for me to incorporate. Although, without any (deep) knowledge of what I'm wanting to do, or symfony knowledge, i would not have been able to create this project.
So about the project: Suppose you lost your phone. How would you cope with this situation? What is your laptop failed to start up? Would you have backups? Have you tried to restore them? Do you have a plan on how to get back up and running quickly?
There are a lot of things that can (and will) go wrong when it comes to computers, life, work, holiday and cats. This project will send you when you least expect it a disaster drill with a scenario to see how well prepared you are. It contains tips and tricks and you can score yourself and match against others on your preparedness level.
I'm not taking about "chatgpt, write me an android clone, make no mistakes". But large software projects do not have to be a solely large player game anymore. I think that with much and much less resources, there can be new alternative phone os'es either or not even based on android.
The biggest issue is market share and lock-in where this problem falls into. But this happens in every monopoly that exists. The technical barrier not a technical problem anymore, its now a political one.