Canonical is investing heavily in a PhD project at the University of Bristol to automate the translation of C code into safer, memory-safe Rust—targeting massive, real-world codebases like Ubuntu’s security tools. Manual conversion is costly and error-prone, so they’re combining machine learning, program analysis, testing, and formal methods to generate idiomatic Rust that behaves exactly like the original C. The system will include debugging and repair tools to catch mismatches, with AppArmor and snap-confine as high-stakes test cases. This isn’t about replacing legacy code—it’s about unlocking Rust’s safety benefits at scale.

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