Rust development for
the part that has to be perfect.
We use Rust narrowly and deliberately: the hot path, the parser, the cryptographic routine, the data stage where a memory-safety bug is unacceptable and a garbage collector is not an option. It is rarely the whole system, and that is the point.
Where Rust earns the learning curve
Rust is not a general-purpose backend choice for us. It is the answer to a specific question: this component cannot be slow, cannot leak memory, and cannot have an unsafe bug.
Latency-Critical Services
Services where a garbage-collection pause is a missed deadline. Predictable, low latency with no runtime surprises.
Carved-Out Hot Paths
One stage of a larger Node.js or Python pipeline, rewritten in Rust and exposed as a native module or a service, while the rest stays as it is.
Data Processing & Parsers
High-volume parsing, transformation, and validation where throughput and correctness both matter, and a subtle bug corrupts data silently.
Security-Sensitive Routines
Cryptographic code and input handling on the trust boundary, where memory-safety guarantees at compile time are worth the extra care.
Safety and speed, with no runtime to pay for
Rust's guarantees come from the compiler, not a runtime. That is what makes it worth the steeper ramp for the right kind of component.
Memory safety without a garbage collector
The borrow checker proves at compile time that there are no use-after-free or data-race bugs. There is no GC, so there are no pauses and the memory footprint stays tight.
Predictable performance
Rust runs at close to C speed with deterministic resource cleanup. For latency-sensitive work, the absence of surprises is the feature.
The compiler is a design partner
If it compiles, a whole class of concurrency and memory bugs is already ruled out. The cost is paid up front, in review time, not at 2am in production.
Clean interop
Rust exposes C-compatible interfaces and has first-class native-module support for Node.js and Python, so it drops into an existing system without a rewrite.
When should you choose Rust?
Rust rewards the right problem and punishes the wrong one. We will tell you which side of that line your project is on.
Rust makes sense when
- A component needs predictable latency with no GC pauses
- A memory-safety bug in this code would be unacceptable
- You are carving one hot path out of a larger system
- Throughput per core genuinely matters to your costs
Consider alternatives when
- It is a standard CRUD backend, where Go or Node.js ships faster
- The project is a fast-moving MVP on a deadline
- Your team has no systems-programming background to build on
What we pair with Rust
Rust for the critical piece, the rest of the system around it.
Hire a Rust Developer
Skip the full build. Get a vetted Rust developer working inside your existing team on the component that needs one, on your stand-ups and your roadmap.
Hire a Rust Developer →Rust in our work
Our published case studies are built on Node.js and .NET backends, so rather than present a Rust project we cannot point to publicly, we will be straight: Rust shows up in our work as performance-critical components inside larger systems, not as a whole-product choice. Across 600+ shipped projects, backed by a 5.0 rating across 353+ Fiverr reviews. On a scoping call we will talk you through the Rust work closest to what you are planning.
Built by AI-native engineers, so your Rust component fits an AI system cleanly
Rust is a natural fit for the parts of an AI pipeline that have to be fast: tokenisation, embedding preprocessing, and high-throughput retrieval. We build those to sit behind a clean contract the rest of your stack can call. It is how our own products, Tully AI and Mebag, were built.
Tokenisation, chunking, and embedding prep where per-document latency adds up across a corpus.
A retrieval service that stays fast under concurrent agent load, behind a typed interface.
Input handling on the trust boundary with memory-safety guarantees at compile time.
Shipped with prompt versioning, evals, and guardrails. See how we build AI →
Common questions about Rust development
Straight answers on when Rust is worth it, how it fits an existing system, cost, and how we start.
Do you build custom Rust applications, or can we hire a Rust developer to join our existing team?
Both. Most engagements are a fixed-price custom build. If you already have a team and need a specific performance-critical component built or reviewed in Rust, we also place vetted Rust developers who work inside your workflow while we handle employment and payroll.
How much does Rust development cost?
We work fixed-price, not hourly. You get a fixed number and a fixed timeline before any code is written. Rust engagements are usually a single well-defined component rather than a whole system, which keeps them tightly scoped. See our pricing page, or book a call for a real number.
How experienced is your team with Rust specifically?
We use Rust deliberately and narrowly: the piece of a system where memory safety without a garbage collector genuinely matters. Most of our published case studies are built on Node.js and .NET, so we would rather point you at the overall track record, 8+ years and 600+ shipped projects with a 5.0 rating across 353+ Fiverr reviews, than present a Rust flagship we cannot show. On a call we will be specific about the Rust work closest to what you need.
When is Rust the right choice over Go or C++?
Over Go: when you need predictable latency with no garbage-collection pauses, or the tightest possible memory footprint. Over C++: when memory safety guarantees at compile time are worth the steeper learning curve. For most services, Go or a managed language is the pragmatic choice, and we will say so.
Can you add a Rust component to a system built in another language?
Yes, and that is the usual pattern. One hot path, one parser, one cryptographic routine, or one data-processing stage carved out and rewritten in Rust, exposed over a clean interface or as a native module, while the rest of the system stays as it is.
Do you work with async Rust and the current ecosystem?
Yes. Tokio for async, axum or actix for services, serde for serialisation, and the current stable toolchain. We keep the dependency tree deliberate, since a small, audited set of crates is part of the reason to choose Rust in the first place.
Is Rust a good choice in 2026?
For the narrow set of problems it is built for, yes: systems-level code, performance-critical paths, and anything where a memory-safety bug is unacceptable. Where it is not the right call: a standard CRUD backend, a fast-moving MVP, or a team with no systems-programming background and a deadline. Rust rewards the right problem and punishes the wrong one.
What does the process look like?
A 30-minute scoping call, then a fixed-price, fixed-timeline proposal within 48 hours. A single Rust component is usually a matter of weeks.
Do you sign an NDA before we talk details?
Yes. We can have an NDA in place before the first call. Just ask and we will send one over.
Hire Rust Developers
Need Rust engineers embedded in your team rather than a full project handoff? Our Rust Developers join your existing workflow (your tools, your stand-ups, your roadmap) while we handle employment, payroll, and HR. Add one developer or a full team, scale up before a release and back down after, and keep everything they build.
Have one component that has to be perfect?
Tell us what it does.
We will tell you honestly whether Rust is the right tool for it, or whether Go or your existing stack can do the job.