Safety, by construction.
Ownership and types rule out broad classes of memory errors in safe Rust.
Neon Studios
We migrate applications, services, and developer tools to Rust.
Preserve what works. Verify what changes.
use std::io::{self, Read};
fn main() {
let mut input = String::new();
io::stdin().read_to_string(&mut input).unwrap();
let mut names: Vec<String> = input.lines()
.map(|s| s.trim().to_ascii_lowercase())
.filter(|s| !s.is_empty())
.map(String::from).collect();
names.sort();
names.dedup();
println!("{}", names.join("\n"));
}From a single library to a backend service, the scope starts with what your software needs to do.
Move selected Python tools and services into a compiled Rust implementation with explicit behavior contracts.
Data pipelines / CLI tools / Background workersRebuild backend services, workers, and developer tools while preserving their external contracts.
HTTP APIs / Queue workers / CLI toolsMigrate targeted Java applications, services, and libraries when native deployment or system-level control matters.
Backend services / Libraries / Protocol toolingModernize selected native components with explicit safety boundaries and careful interoperability.
Native libraries / CLI tools / Performance-sensitive componentsDesign and build Rust libraries and SDKs around documented contracts and real integration needs.
API clients / Reusable crates / FFI layersSafety, native execution, and explicit resource ownership can matter enormously. The right decision still depends on your system.
Ownership and types rule out broad classes of memory errors in safe Rust.
Explicit lifetimes make memory, runtime dependencies, and deployment easier to reason about.
Service boundaries and FFI let you replace a well-defined component before a whole system.
Migration has a cost. We inspect compatibility risk and deployment constraints, and establish a baseline before making any performance claim.
A deliberate sequence from the first code review to a maintainable implementation.
Read the codebase, dependencies, deployment model, and current tests. Establish what the system actually does.
Founder projects in systems, tooling, and Rust. Each comes with its source and its current limitations.
Security event correlation engine and reusable Rust ingestion SDK.
Integration-tested local source; production validation remains open.
View sourceRust CLI for inspecting a documented subset of G1 GC pause summaries.
Comparison and JFR support are planned, not shipped.
View sourceAccount-free paste service with a Rust/Axum API.
Source v0.1.0; live Firestore deployment remains unverified.
View sourceBring your codebase. We’ll start with the right questions.