Go development for
services that stay boring under load.
We use Go where its trade-offs pay off: high-concurrency APIs, network daemons, and CLI tooling. Goroutines make thousands of concurrent connections cheap, the binary is a single file with no runtime to install, and a cold start is measured in milliseconds.
Where Go is the right call
Go is not our default backend. We reach for it deliberately, for the workloads where its concurrency model and deployment story are a genuine advantage.
High-Throughput APIs
Services that sit on a hot path and have to answer fast, under sustained concurrent load, without the memory footprint of a heavier runtime.
Network Services & Proxies
Gateways, webhook processors, and streaming intermediaries where thousands of open connections are normal and Go's goroutine model keeps that cheap.
CLI & Developer Tooling
Command-line tools your team runs locally or in CI. One static binary per platform, no interpreter to install, instant startup.
Carved-Out Services
One performance-sensitive part of a larger Node.js or .NET system, extracted into a Go service behind a clean contract while the rest stays put.
A small language that does a few things very well
Go trades expressiveness for predictability. For the right workload that is exactly the deal you want.
Concurrency that is easy to get right
Goroutines and channels make concurrent code readable. Thousands of simultaneous operations cost very little, and the race detector catches the mistakes you do make.
Deployment is a copy command
The output is one static binary with no runtime dependency. The container image is tiny, the cold start is instant, and there is no version-of-the-interpreter problem in production.
The standard library covers most of it
HTTP servers, JSON, crypto, and templating are all in the box. We keep the dependency tree small on purpose, which keeps the security surface small too.
Boring on purpose
One obvious way to format code, a compiler that is strict about unused imports and variables, and a language spec small enough to hold in your head. New people are productive in it quickly.
When should you choose Go?
Go is a specialist tool. It is excellent for its workloads and unremarkable outside them, and we will say so.
Go makes sense when
- The service is on a hot path and concurrency is the constraint
- You want a single deployable binary and a small container image
- You are building CLI or infrastructure tooling
- A specific piece of a larger system needs to be faster and leaner
Consider alternatives when
- The app is heavy on domain modelling, where .NET is often faster to build
- It is a standard CRUD product with no concurrency pressure
- Data science or ML is core, where Python is the right choice
What we pair with Go
A Go service rarely stands alone. Here is what we build around it.
Hire a Go Developer
Skip the full build. Get a vetted Go developer working inside your existing team, on your stand-ups and your roadmap.
Hire a Go Developer →Go in our work
Our published case studies are built on Node.js and .NET backends, so rather than present a Go project we cannot point to publicly, we will be straight: Go shows up in our work as concurrent services and tooling inside larger systems, across 600+ shipped projects, backed by a 5.0 rating across 353+ Fiverr reviews. On a scoping call we will walk you through the Go work closest to what you are planning.
Built by AI-native engineers, so your Go service is ready for agents and LLM traffic
Go is a natural fit for the parts of an AI system that have to be fast and concurrent: the gateway in front of a model provider, the retrieval service, the tool an agent calls. We build those with the same care as the rest. It is how our own products, Tully AI and Mebag, were built.
A Go layer in front of OpenAI, Anthropic, or Gemini handling rate limits, caching, retries, and fallbacks under concurrent load.
Small, well-contracted Go services an agent can call, with predictable errors and scoped access.
Server-sent events and token streaming where goroutines keep thousands of open responses cheap.
Shipped with prompt versioning, evals, and guardrails. See how we build AI →
Common questions about Go development
Straight answers on stack fit, working in your codebase, cost, and how we start.
Do you build custom Go applications, or can we hire a Go 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 service, integration, or tool built in Go, we also place vetted Go developers who work inside your workflow, on your tools and your stand-ups, while we handle employment and payroll.
How much does Go development cost?
We work fixed-price, not hourly. You get a fixed number and a fixed timeline before any code is written. A single service is a defined engagement; a larger system with several services is scoped separately. See our pricing page for how we structure engagements, or book a call for a real number.
How experienced is your team with Go specifically?
We use Go where it is the right tool: high-concurrency services, network daemons, CLI tooling, and performance-sensitive pieces of a larger system. Most of our published case studies are built on Node.js and .NET backends, so we would rather point you at our overall track record, 8+ years and 600+ shipped projects with a 5.0 rating across 353+ Fiverr reviews, than dress one up as a Go flagship. On a call we will be specific about the Go work closest to what you need.
Go vs Node.js vs .NET: which should I choose for my backend?
Go for services where raw concurrency, low memory, and a single static binary matter: network proxies, high-throughput APIs, and infrastructure tooling. Node.js for I/O-heavy APIs and JavaScript teams that want one language across the stack. .NET for complex enterprise business logic and teams that value a mature framework. We use all three and will recommend based on your requirements.
Do you work with recent Go versions?
Yes. Current Go for new projects, with the standard library first, generics where they genuinely reduce duplication, and a small set of well-chosen modules rather than a large dependency tree. For existing codebases we work with whatever version is live and plan upgrades where they add value.
Is Go a good choice in 2026?
For the workloads it was designed for, yes: concurrent network services, CLI tools, and infrastructure components where fast startup and a single deployable binary are real advantages. Where it is not the best fit: heavy business-logic applications with a lot of domain modelling are often faster to build in .NET, a small CRUD app rarely benefits from Go over Node.js, and a data science or ML workload belongs in Python. We will tell you honestly if your project is one of those.
Can you add a Go service to an existing system in another language?
Yes, and that is often how Go enters a codebase: one performance-sensitive service carved out and rewritten while the rest of the system stays as it is. We define the contract, build the service, and handle the cutover.
What does the process look like?
A 30-minute scoping call, then a fixed-price, fixed-timeline proposal within 48 hours. A single Go service is usually a matter of weeks; a larger multi-service system is scoped against its real complexity.
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 Go Developers
Need Go engineers embedded in your team rather than a full project handoff? Our Go 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 a service that needs to be fast and cheap to run?
Tell us what it has to do.
We'll tell you honestly whether Go is the right tool for it, or whether your existing stack can do the job.