LLM Best Practices

Rust vs Go

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Overview

Pick Rust for components where latency tails, memory safety guarantees, or constrained targets are the requirement; pick Go for networked services and tooling where developer velocity and operational simplicity dominate. As of 2026-10-01 Go is at 1.27 (released 2026-08-19; each Go release is supported until two newer ones ship) and Rust is at 1.99 (edition 2024 stable since 1.85). Many teams use both, split by component.

Comparison

DimensionRustGo
Memory modelOwnership and borrowing; no garbage collectorGarbage collected
ConcurrencyThreads and async (Tokio is the common runtime); data races are compile errorsGoroutines and channels in the runtime
Build speedSlower, especially clean buildsFast
Learning curveSteeper; the borrow checker takes weeks to internalizeSmall language; quick to read and write
ErrorsResult<T, E> and ?Explicit error returns
Standard librarySmall; web, serialization, and async come from cratesLarge: net/http, encoding/json, database/sql, log/slog
TargetsEmbedded (no_std), WebAssembly, kernels, native librariesServers, CLIs, cloud tooling, single static binaries
Ecosystem fitDatabases, parsers, browsers, build toolsKubernetes tooling, microservices, network services

Pick Rust when

Pick Rust when a GC pause or a memory bug is a production incident.

  • Latency-sensitive cores: storage engines, proxies, codecs, parsers, and data-processing libraries.
  • Embedded and WebAssembly targets, and libraries called from other languages (Python, Node, Swift) through FFI bindings.
  • Long-lived tools where the compiler catching data races and use-after-free bugs reduces review burden.
  • Let cargo clippy and cargo test gate changes; see testing.

Pick Go when

Pick Go when a team must ship and operate services quickly.

  • HTTP and gRPC services, queue workers, and CLIs; the standard library covers most needs with few dependencies.
  • Teams with mixed experience, where new engineers must contribute in days.
  • Kubernetes operators, controllers, and cloud infrastructure tooling, where Go libraries are the default.
  • Fast CI: short compile and test cycles.
  • CLIs: Go when compile speed and contributor velocity matter; Rust when startup and runtime performance matter.

Combine

Keep the service shell in Go and move only a proven hot path to Rust, called over gRPC or as a library through FFI. Share contracts with Protobuf or OpenAPI. Do not rewrite a working Go service in Rust without profile data showing GC or memory as the bottleneck, and do not rewrite a Rust component the team cannot maintain without first measuring what it costs. See cloudflare-workers for Rust and WebAssembly at the edge, and postgres for the usual data layer.

FAQ

Should I use Rust or Go for a backend service?

Use Go for HTTP and gRPC services, queue workers, and CLIs, where its large standard library and fast builds keep teams shipping. Use Rust for latency-sensitive cores where a GC pause or a memory bug is a production incident.

Is Rust faster than Go?

Rust has no garbage collector, which gives predictable latency tails for storage engines, proxies, codecs, and parsers. Do not rewrite a working Go service in Rust without profile data showing GC or memory as the bottleneck.

Is Go easier to learn than Rust?

Yes; Go is a small language that new engineers can contribute to in days, while Rust’s borrow checker takes weeks to internalize. Pick Go for teams with mixed experience.

Can I use Rust and Go together?

Yes; keep the service shell in Go and move only a proven hot path to Rust, called over gRPC or as a library through FFI. Share contracts with Protobuf or OpenAPI.

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