What you absolutely cannot vibe code right now
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Large language models excel at generating repetitive, well-understood code like CRUD applications and web development, but struggle significantly with algorithmic problems and novel implementations. Through practical experience porting a patch system from Python to TypeScript, the author demonstrates that LLMs fail at medium to hard difficulty problems where they cannot rely on well-known templates. While LLMs are valuable tools for routine development tasks, they require human oversight and cannot autonomously handle complex algorithmic design or domains with limited training examples.
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