If you've ever asked Claude Code, Cursor, or Copilot to "add a function" to a Rust crate, you know the output: borrowed &str everywhere with explicit lifetimes leaking into public signatures, .unwrap() on every Result , a std::sync::Mutex held across an .await , and a panic!() instead of an error path. It compiles. It also looks like C++ wearing a Rust hat. The cause is the training data. Most Rust code AI has seen is example snippets — the parts that elide error handling, ignore async correctness, and use unwrap() because brevity beats robustness in a blog post. Production Rust looks nothing like this. Drop a CLAUDE.md at the crate root and the AI reads it before every task. Here are the seven rules I find most load-bearing for real Rust work. Rule 1: Owned types in public APIs, borrows inside implementations pub fn parse(input: &'a str) -> Result<Foo<'a>, Error> looks clever and forces every caller to think about lifetimes.…