LLM's code is just untrusted text, until you validate it
The article discusses the challenges of using LLM-generated code, emphasizing that it should be treated as untrusted text until validated. It highlights the complexities of programming languages like Rust, which, while powerful, can introduce significant cognitive overhead. Ultimately, the author warns against underestimating the need for careful review and validation of LLM-generated code.
- ▪LLM-generated code is considered untrusted text until it is validated.
- ▪Rust is a powerful programming language but comes with complexities like ownership and lifetime management.
- ▪Many developers underestimate the need to review LLM-generated code, treating it as reliable output.
Opening excerpt (first ~120 words) tap to expand
LLM’s code is just untrusted text. Until you validate it. Posted on 2026-05-182026-05-23 by admin People often ask me what the best programming language is to use with LLMs. One of the strongest options, in my opinion, is Rust. However, before choosing it, you first need to ask yourself whether it’s worth picking a language with manual memory management instead of one with a garbage collector. And regardless of that decision, the first thing is to understand that LLMs are not deterministic systems. They should be used for what they actually are: smart suggesters. You just don’t have to trust suggesters by default. They read input text. They responds with output text. Disclaimer: it’s not code. Not yet. Even if it looks like code, it compiles as if it was actual code, trust me. It’s not.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Hack8s.
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