To accelerate the transition to memory safe programming languages, the US Defense Advanced Research Projects Agency (DARPA) is driving the development of TRACTOR, a programmatic code conversion vehicle.
The term stands for TRanslating All C TO Rust. It’s a DARPA project that aims to develop machine-learning tools that can automate the conversion of legacy C code into Rust.
The reason to do so is memory safety. Memory safety bugs, such buffer overflows, account for the majority of major vulnerabilities in large codebases. And DARPA’s hope is that AI models can help with the programming language translation, in order to make software more secure.
“You can go to any of the LLM websites, start chatting with one of the AI chatbots, and all you need to say is ‘here’s some C code, please translate it to safe idiomatic Rust code,’ cut, paste, and something comes out, and it’s often very good, but not always,” said Dan Wallach, DARPA program manager for TRACTOR, in a statement.
frustration noises It knows nothing! It’s not intelligent. It doesn’t understand anything. Attempts to keep those things acting within expected/desired lines fail constantly, and not always due to malice. This project’s concept reeks of laziness and trend-following. Instead of a futile effort to make a text generator reliably produce either an error or correct code, they should perhaps put that effort into writing a transpiler built on knowable, understandable rules. … Oh, and just hire a damn Rust dev. They’re climbing up the walls looking to Rust-ify everything, just let them do it.