These days, coding often means less typing and more running what an LLM produced. We fix the errors, run again, and repeat. Many developers know this rhythm as Vibe Coding. In this style of work, the choice of language matters more than it first seems. After trying different ones, I found Go to be especially good for it.
Go’s main strength is that it enforces design consistency. If a function can fail, it must return an error, and the caller must handle it. This makes every part of the project follow the same “return err” pattern. Go also has no default parameters and very few hidden rules like truthy or falsy checks. Because of this, generated code stays uniform and easier to maintain. The language is simple, and that simplicity makes code generation stable and predictable.
Python and TypeScript are not like this. They allow many ways to handle errors, and they rely on a lot of implicit behavior. Teams can add lint rules and type checkers, but when an LLM generates code, fewer restrictions mean more variation. Over time, this breaks design consistency. A project written only by humans might survive this, but with fast iteration and machine-generated code, it helps when the language itself enforces structure.
Rust takes the opposite approach. With Result and match, it forces very strong consistency. The downside is that code will not even compile unless every case is covered. This level of safety is useful, but it slows down the flow of Vibe Coding. Go finds a better balance. It keeps explicit error handling but does not require covering every single case. That means generated code runs sooner, and developers can keep moving quickly.
Python and TypeScript often lose consistency. Rust protects consistency but sacrifices speed. Go stands in the middle, keeping both. For anyone who has done Vibe Coding, the point of this argument should feel clear.
September 5, 2025