Rust Generator
Commercial use OK
572 models
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Model:
+ GPT-5, Claude, Gemini
Describe what you need and get idiomatic Rust that compiles clean on 2024 edition - strict borrow-checker discipline, Result-based error handling with thiserror, async via tokio, zero-cost abstractions. Self-hosted Qwen 3.6 35B handles typical ownership / trait patterns; premium Claude Sonnet / GPT-5 shine on complex lifetimes, async trait bounds, and multi-crate refactors.
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Generate Rust code with free AI. Memory-safe systems programming.
How to Use Rust Generator
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Our AI processes your request in seconds using the best open-source models.
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Download, copy, or share your result. Free for personal and commercial use.
Use this tool via API
Automate this tool from your own code. OpenAI-compatible REST endpoint, Bearer-token auth, no extra SDK required. Token costs match the web interface.
curl -X POST https://api.free.ai/v1/chat/ \
-H "Authorization: Bearer sk-free-..." \
-H "Content-Type: application/json" \
-d '{"model": "qwen-coder", "messages": [{"role": "user", "content": "Write a Python function that reverses a string."}]}'Rust Generator - FAQ
Idiomatic Rust targeting the 2024 edition by default - proper Result-based error handling, strict borrow-checker discipline, thiserror/anyhow for typed errors, tokio for async, clap-derive for CLIs, axum for web servers. Every output includes the exact Cargo.toml dependencies as a comment block. 8 style presets (Production lib / Async tokio / CLI clap / Axum / Actix-web / no_std embedded / FFI / proptest).
Yes - a typical Rust struct + impl block + tests costs ~1,800 tokens on the default Qwen 3.6 35B model, inside the 6,000 anonymous or 30,000 signed-up daily pool. Rust is more verbose than average so higher depth levels cost more. Premium Claude Sonnet / GPT-5 excel on complex lifetime puzzles the free model gets wrong.
Copilot (free for students, $10/mo otherwise) is great at completing the line you are typing but weaker at big-picture Rust idioms like lifetime positioning. Cursor ($20/mo) has better Rust context. Our one-shot generator excels at structured patterns - "give me a correct thread-safe LRU cache" returns production-grade code with tests, while Copilot tends to write `HashMap<...>` without the synchronization.
That is the bar we aim for - the system prompt explicitly requires clippy-clean output. The model occasionally misses a lint (needless_collect, redundant_clone), especially in the free Qwen tier. Always run `cargo clippy -- -D warnings` on the output and regenerate if clippy complains. Premium models catch more of these preemptively.
Rust lifetime juggling is the hardest thing for any LLM. The free Qwen 3.6 35B model handles 80-90% of common cases; the rest - complex elision boundaries, self-referential types, higher-ranked trait bounds - benefit from upgrading to a premium model. If you get a lifetime-error regeneration loop, paste the compiler error into /code/debug/ with the original code.
Yes - pick the "Async" style. Output includes #[tokio::main] for binaries, tokio::spawn for tasks, tokio::select! for cancellation, and proper use of tokio::task::spawn_blocking around CPU-bound work. Uses the tokio channel types (mpsc, oneshot, broadcast) appropriately.
Yes - separate style presets for each. Axum (0.7+) output uses Router + layers + Arc<AppState>. Actix-web (4.x) output uses HttpServer + App + web::Data. Both include thiserror integration with IntoResponse / ResponseError trait impls for typed API errors.
Yes - pick the "no_std" style. Output uses #![no_std], heapless collections where possible, core::panic::PanicInfo panic handler, no std:: imports. Ready for embedded-hal + probe-rs flashing. For RTIC or Embassy patterns, specify in your description.
Yes - pick the "FFI" style. Output uses #[repr(C)] structs, extern "C" fn with pointer-safety docs, CString/CStr for string handling, panic::catch_unwind across the FFI boundary. Good for writing Rust libraries called from C / Python / Node.
thiserror for library code where callers need to match on specific error variants. anyhow for application / CLI code where you mostly just want ? + context. The toggles let you pick both, neither, or either - the model follows your choice. Production style defaults to thiserror.
Rust is among the safer outputs we produce because the compiler itself catches so many bugs. Still review every change - the model cannot know your runtime constraints or full system architecture. For unsafe blocks or performance claims, run /code/review/ with security or performance focus.
Yes - POST to /v1/chat/ with the same system prompt. Good for build-pipeline code-generation or IDE plugins. Bearer auth, rate-limited. Docs at /api/.
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