AI-generated Rust compiles perfectly. That’s the scary part.

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Canonical wants to know whether automated tools can finally rewrite legacy C code in safe, maintainable Rust without altering the software. That’s why researchers at the University of Bristol are throwing the tool into the deep end with AppArmor and snap-confine.

AppArmor confines applications, while snap-confine creates the sandboxed environments where snaps run. Both perform security-critical jobs, and Canonical isn’t rushing to rewrite either one in Rust, but it wants to find out what evidence maintainers would need before trusting an automated translation of production code.

Proving behavioral equivalence at scale

Canonical’s proposed system will use language models to generate Rust code, then run it through a verification process designed to catch and repair differences in behavior. It’s a recognition that generating code at scale is no longer the hard part — the hard part is proving that code actually does what the original did.

Generated Rust code can compile cleanly while still behaving differently from the original C code. The researchers plan to combine fuzzing with formal program analysis to compare the two implementations and find differences that conventional tests may otherwise miss.

When the system detects a mismatch, it uses symbolic repair to diagnose the exact failure and fix the code directly. That feedback is critical for solving the overuse of unsafe.

Rust’s unsafe blocks allow operations that aren’t permitted in safe Rust, including some forms of raw pointer manipulation. A translator could use them to carry difficult C constructs into Rust, …

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