• Mature C cannot be handed straight to a translator because the source hides its own contract. Implicit memory layout assumptions, aliasing patterns, and undefined behavior all have to be reconstructed before any safe Rust can be produced.
• Rust is worth the trouble because ownership and borrowing turn the guarantees C leaves entirely to the programmer, memory safety and aliasing discipline, into things the compiler checks before the program runs.
• Generating a deliberately non-idiomatic Rust baseline first separates two failure modes: 'does it still behave like the C' and 'is this good Rust'. Debugging one at a time is what makes the process reliable at 12.5k lines.

• LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.

If you're migrating C codebases to Rust with AI agents, this proposes a staged workflow — get a safe-but-ugly baseline first, then iteratively idiomatic-ize with compile/test validation at each step — which addresses a real failure mode of single-shot LLM translation attempts.

• videoBuilding ambitious software — Jonathan Kelley, Dioxus Labs & CognitionAI Engineer
• articleTranslating CUDA Tile Operations from Python to Rust Using Agentic AITanya Lenz
• articleIdentifying Latent Declarative Representations of Code for Assisting Repository MigrationShraddha Surana, Ashwin Srinivasan, Michael Bain

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