Rust Generator
Commercial use OK
380+ models
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No sign-up needed
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 Coder handles typical ownership / trait patterns; premium Claude Sonnet / GPT-5 shine on complex lifetimes, async trait bounds, and multi-crate refactors.
Explanation
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Generate Rust code with free AI. Memory-safe systems programming.
How to Use Rust Generator
1
Enter your input
Type text, upload a file, or describe what you want. No account needed.
2
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Our AI processes your request in seconds using the best open-source models.
3
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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 Coder model, inside the 2,500 anonymous or 10,000 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 Coder 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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