LLMs are always going to generate output (prose or code) in the same style as the training data. The Java training data corpus is both bloated/Enterprise-y, and mostly written by junior engineers or even students (because there are so many publicly-accessible Java school-project personal GitHub repos.)
If you're working on a Java project, consider prompting the AI to first write a "pseudocode solution" in a more concise/low boilerplate/"highly expressive" language — Ruby, for example — and then asking it to translate its own "pseudocode" into Java.
(Mind you, I'm not sure if you can modify the implicit system prompt used by automatic coding-assistance systems like Cursor. [Can you? Anyone know?] I'm more just thinking about how you'd do this if you were treating a ChatGPT-like chatbot as if it were StackOverflow — which is personally where I find most of the value in LLM-assisted coding.)
Alternately, consider prompting the AI to "act like a senior $lang engineer forced to write in Java for this project, who will attempt to retain their existing opinionated coding style they learned from decades of experience in $lang, in the Java code they write" — where $lang is either, once again, a more expressive language; or, more interestingly, a language with a community that skews away from junior engineers (i.e. a language that is rarely anyone's first programming language) and toward high-quality, well-engineered systems code rather than slop CRUD code. For example, Rust, or Erlang/Elixir.
(Funny enough, this is the exact same mental through-line that would lead a company to wanting to hire people with knowledge of these specific languages.)
If you're working on a Java project, consider prompting the AI to first write a "pseudocode solution" in a more concise/low boilerplate/"highly expressive" language — Ruby, for example — and then asking it to translate its own "pseudocode" into Java.
(Mind you, I'm not sure if you can modify the implicit system prompt used by automatic coding-assistance systems like Cursor. [Can you? Anyone know?] I'm more just thinking about how you'd do this if you were treating a ChatGPT-like chatbot as if it were StackOverflow — which is personally where I find most of the value in LLM-assisted coding.)
Alternately, consider prompting the AI to "act like a senior $lang engineer forced to write in Java for this project, who will attempt to retain their existing opinionated coding style they learned from decades of experience in $lang, in the Java code they write" — where $lang is either, once again, a more expressive language; or, more interestingly, a language with a community that skews away from junior engineers (i.e. a language that is rarely anyone's first programming language) and toward high-quality, well-engineered systems code rather than slop CRUD code. For example, Rust, or Erlang/Elixir.
(Funny enough, this is the exact same mental through-line that would lead a company to wanting to hire people with knowledge of these specific languages.)