REST API development
The default way two systems talk over HTTP — and the one most integration partners will expect you to offer.
API style
Chosen per project
Maintainable handover
Almost every system eventually needs an API: a mobile app needs the same data as the website, an accounting package needs invoices, a customer wants their orders in their own system. REST is the lingua franca for that, mostly because everything already speaks it.
The quality of a REST API is decided by things that are unglamorous: consistent resource naming, honest status codes, predictable error bodies, pagination that works on the millionth record, and a version strategy agreed before the first breaking change is needed.
What we build with REST APIs
Backing a mobile app with the same data as the web application
Giving customers or partners programmatic access
Connecting an ERP, CRM or accounting system
Separating a front end from a legacy back office
Where it fits — and where it does not
Good fit when
Public and partner-facing integration
CRUD-shaped resources with clear ownership
Anywhere caching and standard HTTP tooling help
Consider something else when
Clients needing wildly different shapes of the same data — GraphQL may fit better
Very chatty interactions where one call would be far more efficient
The parts clients actually judge you on
None of these is about the framework. All of them decide whether an integration takes a day or a month.
Predictable resources
Nouns, plural, nested only where ownership is real.
Honest status codes
404 means missing, 422 means invalid, 500 means our fault.
Pagination and filtering
Works at a million rows, not just at fifty.
Documentation from the spec
Generated, so it cannot drift from the code.
Versioning
Old clients keep working while new ones move.
How we work with REST APIs
Contract first
An OpenAPI specification written and agreed before implementation, so client and server teams work in parallel.
Versioned from day one
A version in the path from the first release, because the first breaking change always arrives sooner than expected.
Consistent errors
One error shape across every endpoint, with a code a client can branch on rather than a string to parse.
Authentication and limits
Token-based auth, per-client rate limits and audit logging in place before an external party is given a key.
Our typical REST APIs setup
| Concern | What we use |
|---|---|
| Specification | OpenAPI 3, versioned in the repository |
| Auth | OAuth 2.0 or signed API keys, scoped per client |
| Errors | One documented error envelope with stable codes |
| Limits | Per-client rate limiting with clear headers |
| Testing | Contract tests run in CI against the specification |
Frequently asked questions
Usually yes, and it is a common way to modernise without a rewrite — the API becomes the front door while the legacy system keeps running behind it.
By not making them silently. New fields are additive; anything that breaks an existing client goes into a new version, with the old one supported for an agreed period.
Yes, generated from the OpenAPI specification so it stays accurate, plus a short guide covering authentication and the common flows.
Topics people search for
Services built with REST APIs
API Development
The interfaces that let your systems talk to each other, and let partners build on top of what you have.
Mobile App Development
Apps built to be used daily — fast to open, sensible offline and maintainable once they are in the stores.
Custom Software Development
Software shaped around the way your business already works, instead of a packaged product you have to reorganise around.
Enterprise Software Development
Systems for organisations where several departments, sites and approval chains all have to work from the same data.
Tell us what you are trying to build
Describe the problem in plain language and we will tell you what it would take to solve it — the approach, the moving parts and the sensible order to build them in. No obligation either way.