I’ve seen how AI is creating new apps in a few minutes and it’s amazing! This is exciting, but there’s a big problem we need to talk about: technical debt.
We might be making things too easy, and creating a mess for the future.
It’s tempting to think that anyone can be a software developer now, thanks to AI. But while AI can generate code quickly, it doesn’t always create good code. It’s like building a house without a plan – it might look okay at first, but it could fall apart later.
Here’s what happens:
- Code grows super fast: AI can generate a lot of code quickly, but this code can become complex.
- It becomes hard to maintain: The code can be hard to understand, change, and fix.
- No architecture: Good apps need a good plan (architecture). AI-generated code might not have this and may cause a lot of problems.
- It’s not just the first version: Making an app work at first is one thing. Keeping it working, changing it, and adding new features is another. That’s where technical debt hits you.
AI is awesome, but it’s very easy to create new apps quickly which can, after some time turn out very poorly and hard to manage. More people start to believe they can become professional developers quickly, but this can lead to technical debt problem!
It’s easy to make something work the first time, but the real challenge is managing it afterwards.
So, what do you think? Is AI creating a technical debt crisis? Can AI code be well-architected and maintained in the long run? Maybe it’s just a matter of time before AI can do this too?
Share your thoughts in the comments! 👇
#AI #ArtificialIntelligence #TechnicalDebt #SoftwareDevelopment #CodeGeneration #DevOps #Architecture #MachineLearning #Programming #FutureOfWork
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