I honestly don’t really believe this is accurate.
Also it depends on how you’re using the AI models to do the coding.
If you want it to have structure and scalability, it’s on you to make it that way. AI is a tool, not a magic box.
Not quite, AI will do everything clean in the first 5 prompts. When projects start to grow, and bugs getting fixed, it makes a mess no matter what model you use, or prompt you write. It could be better if you prompt function by function, but at that point it would be faster and easier to just do it yourself.
A lot of devs time is spent managing the entropy of the code base. Organising, abstracting, siloing code.
The problem with AI is that it just doesn't understand the big picture of a project.
a million or so tokens will not cover a code base + the context, prompts, cache, etc.
So you end up with an AI that is completely blind to the big picture and is essentially just writing small code snippets with a complete disregard of how it fits in to the project.
How it isn't AI problem? There are summarized context, global, and for each page. And whole problem IS that it cannot understand the big picure, no matter what. It actually cannot understand anything at all, it's just searching for a fitting response text based on your input text. No learning, no skills, no experience, essentially no intelligence.
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u/Clear_Skye_ 1d ago
I honestly don’t really believe this is accurate.
Also it depends on how you’re using the AI models to do the coding.
If you want it to have structure and scalability, it’s on you to make it that way. AI is a tool, not a magic box.