--- title: AI-generated Rust compiles perfectly. That’s the scary part. description: Canonical is funding University of Bristol researchers to test whether AI can automatically translate security-critical C code — specifically AppArmor and... canonical: https://daily.dev/posts/ai-generated-rust-compiles-perfectly-that-s-the-scary-part--4lmy2tnqk twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: AI-generated Rust compiles perfectly. That’s the scary part. | daily.dev og:description: Canonical is funding University of Bristol researchers to test whether AI can automatically translate security-critical C code — specifically AppArmor and... og:url: https://daily.dev/posts/ai-generated-rust-compiles-perfectly-that-s-the-scary-part--4lmy2tnqk og:image: https://api.daily.dev/og/posts/4LMy2tnqK.png og:image:alt: AI-generated Rust compiles perfectly. That’s the scary part. og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # AI-generated Rust compiles perfectly. That’s the scary part. **[The New Stack](https://daily.dev/sources/newstack)** · 4 min read · 0 upvotes · 0 comments ## Summary Canonical is funding University of Bristol researchers to test whether AI can automatically translate security-critical C code — specifically AppArmor and snap-confine — into Rust without changing behavior. The project combines fuzzing and formal program analysis to detect behavioral mismatches between original C and generated Rust, using symbolic repair to fix discrepancies. A key concern is over-reliance on Rust's unsafe blocks, which would undermine the memory-safety benefits of the rewrite. The research frames the challenge not as generating code, but as proving functional equivalence and building maintainer trust before any production adoption. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### Why is translating C code to Rust with AI risky even if the generated code compiles successfully? Generated Rust code can compile cleanly while still behaving differently from the original C, meaning a translation could pass build checks yet introduce logic errors or security flaws. This is especially dangerous for security-critical tools like AppArmor and snap-confine, where a policy parsed differently than intended could silently break confinement. Compiling successfully says nothing about functional or security equivalence. _Developers evaluating AI-assisted code migrations can follow tooling and safety debates like this on daily.dev._ ### How is Canonical testing whether AI can safely rewrite AppArmor and snap-confine from C into Rust? Canonical is funding University of Bristol researchers to combine fuzzing with formal program analysis, comparing AI-generated Rust against the original C implementations to catch behavioral differences that ordinary tests would miss. When a mismatch is found, symbolic repair diagnoses the exact failure and fixes the code directly, aiming to avoid overreliance on Rust's unsafe blocks. _Track how projects verify AI-generated code changes safely by following Rust and security coverage on daily.dev._ ### Why does overusing unsafe blocks defeat the purpose of translating C code into Rust? Unsafe blocks in Rust permit operations like raw pointer manipulation that safe Rust normally forbids, so a translator leaning on unsafe to stay close to the original C syntax can reintroduce the same memory-safety risks Rust is meant to eliminate. Getting real benefit from a rewrite instead requires idiomatic Rust with adjusted data structures and lifetimes across functions and modules. _Developers weighing safe versus unsafe Rust tradeoffs can find related deep dives on daily.dev._ ## Similar posts on daily.dev - [Canonical backs quest to translate mountains of C into safe Rust with AI](https://daily.dev/posts/canonical-backs-quest-to-translate-mountains-of-c-into-safe-rust-with-ai-s3vchgqgx) · The Register · 6 upvotes · 1 comments - [AI Code Transforms C to Rust for Safer Software](https://daily.dev/posts/ai-code-transforms-c-to-rust-for-safer-software-xgjsw1cts) · IEEE Spectrum · 40 upvotes · 11 comments - [Rewriting the world in Rust — Bitfield Consulting](https://daily.dev/posts/rewriting-the-world-in-rust-bitfield-consulting-vxpqrwzmv) · Bitfield Consulting · 69 upvotes · 8 comments --- Tags: [#rust](https://daily.dev/tags/rust), [#c](https://daily.dev/tags/c) [View this post on daily.dev](https://daily.dev/posts/ai-generated-rust-compiles-perfectly-that-s-the-scary-part--4lmy2tnqk) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"AI-generated Rust compiles perfectly. That’s the scary part.","url":"https://daily.dev/posts/ai-generated-rust-compiles-perfectly-that-s-the-scary-part--4lmy2tnqk","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/ai-generated-rust-compiles-perfectly-that-s-the-scary-part--4lmy2tnqk"},"datePublished":"2026-08-19T19:32:12.127Z","dateModified":"2026-08-21T09:26:41.969Z","description":"Canonical is funding University of Bristol researchers to test whether AI can automatically translate security-critical C code — specifically AppArmor and...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/013e2b9754cb46ef2a3c275a8ef73975?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/013e2b9754cb46ef2a3c275a8ef73975?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"The New Stack","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"The New Stack","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/newstack","url":"https://daily.dev/sources/newstack"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/ai-generated-rust-compiles-perfectly-that-s-the-scary-part--4lmy2tnqk","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"rust,c","timeRequired":"PT4M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"The New Stack","item":"https://daily.dev/sources/newstack"},{"@type":"ListItem","position":3,"name":"AI-generated Rust compiles perfectly. That’s the scary part."}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/ai-generated-rust-compiles-perfectly-that-s-the-scary-part--4lmy2tnqk#faq","mainEntity":[{"@type":"Question","name":"Why is translating C code to Rust with AI risky even if the generated code compiles successfully?","acceptedAnswer":{"@type":"Answer","text":"Generated Rust code can compile cleanly while still behaving differently from the original C, meaning a translation could pass build checks yet introduce logic errors or security flaws. This is especially dangerous for security-critical tools like AppArmor and snap-confine, where a policy parsed differently than intended could silently break confinement. Compiling successfully says nothing about functional or security equivalence. Developers evaluating AI-assisted code migrations can follow tooling and safety debates like this on daily.dev."}},{"@type":"Question","name":"How is Canonical testing whether AI can safely rewrite AppArmor and snap-confine from C into Rust?","acceptedAnswer":{"@type":"Answer","text":"Canonical is funding University of Bristol researchers to combine fuzzing with formal program analysis, comparing AI-generated Rust against the original C implementations to catch behavioral differences that ordinary tests would miss. When a mismatch is found, symbolic repair diagnoses the exact failure and fixes the code directly, aiming to avoid overreliance on Rust's unsafe blocks. Track how projects verify AI-generated code changes safely by following Rust and security coverage on daily.dev."}},{"@type":"Question","name":"Why does overusing unsafe blocks defeat the purpose of translating C code into Rust?","acceptedAnswer":{"@type":"Answer","text":"Unsafe blocks in Rust permit operations like raw pointer manipulation that safe Rust normally forbids, so a translator leaning on unsafe to stay close to the original C syntax can reintroduce the same memory-safety risks Rust is meant to eliminate. Getting real benefit from a rewrite instead requires idiomatic Rust with adjusted data structures and lifetimes across functions and modules. Developers weighing safe versus unsafe Rust tradeoffs can find related deep dives on daily.dev."}}]} ```