+ 1
What disadvantages of Ai in coding
Ai
6 Réponses
+ 2
That's not good for everything. Only certain applications can be solved with it and these must be selected carefully.
+ 1
You don't really control what code is generated if you use AI, it's more like a game of chance. It might look ok most of the time, but at this moment, it's still hit or miss on correctness.
Plus, you pay $ to help big corporations improve their product which will probably make you obsolete by the time you 'mastered' it...
you also have to spend more time and money debugging your code and probably lose even more $ for delivering a buggy product...
+ 1
AI can “hallucinate” which is when it confidently makes up an incorrect answer. If you arent familiar with the code you’re asking AI to help with, it could be giving you buggy or unnecessarily convoluted code and you wouldn’t even know. Relying too much on AI can also weaken your overall coding skills, causing problems for situations where you can’t rely on the AI to help you.
There are also privacy concerns with giving information to AI tools.
+ 1
AI in coding can generate inefficient or insecure code,https://hekateswitch.com/sigpatches-newest-atmosphere-update/ leading to vulnerabilities. It also lacks true problem-solving skills, often requiring human oversight for quality control.
+ 1
Your efforts to learn . AI can't modify the code acc to new ideas
+ 1
A person then, for example, does not read the documentation for libraries, so he does not discover all their possibilities and does not learn new things. He only gets superficial solutions that often do not suit what he exactly needs. With reasonable use, he can save himself boring work that he already knows and can assess the result, or at the beginning he can quickly get an idea of something that he knows nothing about. However, he can also get lost in ambiguous answers and mistakes that AI makes, because our world is sometimes ambiguous, but a novice does not know about it.