Raw LLM Responses

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One of the issues I experienced when I did a 95%+ LLM code generated frontend (typescript, react, tailwindcss) was that the tailwind css classes was basically "inlined" everywhere in the project and while it looked good at first, eventually as the project scaled it would've been a disaster everytime you wanted to change design/color, because you'd have to track where you'd need to change. And while the LLM is good at traversing lots of text the context will eventually be too big. Eventually I had to refactor the codebase and I added some rules and it helped a lot, but it still added "inline" tailwind css classes even though it isn't allowed to do so. What's the point with all of this; well it is that it's not actually intelligent (like you said in this video too) because if it was it wouldn't keep ignoring the rules. Yes the developer can ignore those kind of rules as well but eventually they'd have to learn whereas the LLM doesn't. I actually try to steer away from calling it "AI" and stick to "LLM" because it's not actually intelligent.
youtube AI Jobs 2026-01-23T11:0…
Coding Result
DimensionValue
Responsibilitynone
Reasoningmixed
Policynone
Emotionresignation
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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