Sometimes one just need [language or tech stack] to do something, especially for some performance/security considerations. For now LLMs still suffers from hall

Sometimes one just need [language or tech stack] to do something, especially for some performance/security considerations. For now LLMs still suffers from hallucination and lack of generalizability, The large amount of code generated is sometimes not necessarily a benefit, but a technical debt. LLMs are good for open and fast, prototype web applications, but if we need a stable, consistent, maintainable, secure framework, or scientific computing, pure LLMs are not enough, one can't vibe everything without checking details