Canonical backs quest to translate mountains of C into safe Rust with AI
- ID
- 17167
- Status
- summarized
- Published
- 24 Aug 2026, 5:27 PM
- Fetched
- 24 Aug 2026, 5:45 PM
- Provider
- The Register
- Category
- technology
- Original URL
- https://www.theregister.com/software/2026/08/24/canonical-backs-quest-to-translate-mountains-of-c-into-safe-rust-with-ai/5290959
- Source URL
- https://www.theregister.com/headlines.atom
Summary
- Score
- 5.5
- Created
- 24 Aug 2026, 5:46 PM
- Tags
- Audience
- developersai_ml_learners
What happened
Canonical is co-funding a three-year PhD project at the University of Bristol to investigate whether LLMs can decompose large C codebases (hundreds of thousands of lines) into smaller components and rewrite them in safe, behaviourally correct, maintainable Rust. VP Jon Seager, who drove Ubuntu 25.10's adoption of Rust-based sudo and uutils coreutils, acknowledges existing source-to-source translators produce Rust that compiles but relies heavily on unsafe operations and retains awkward C idioms.
Why it matters
This is a research bet, not a shipping tool—don't change your migration plans yet. But it signals where Canonical thinks the puck is going: if LLM-driven C-to-Rust translation becomes viable, maintainers of legacy C codebases (common in Malaysian telcos, banks, and government systems) gain a credible modernization path beyond manual rewrites. Watch the PhD's evidence output over the next three years before evaluating any production use.
Discussion angle
Compare what existing C-to-Rust translators get wrong (unsafe-heavy output, C idioms preserved) against what an LLM decomposition approach might do differently—and whether this is a problem LLMs are structurally suited for or just a funding-worthy long shot.