Cloud, API & Platform Engineering · REST APIs
REST APIs that follow HTTP instead of fighting it
We build RESTful APIs with clear resource models, correct status codes, consistent pagination and an OpenAPI specification — the kind of interface any developer, tool or partner can pick up and use without needing a call.
- Resource-oriented design
- OpenAPI specification
- Pagination, filtering, sorting
Overview
The craft inside a good REST API
REST looks simple, which is why it is so often done loosely. The craft lies in small, consistent decisions repeated across every endpoint: plural nouns, predictable nesting, the same pagination scheme everywhere, the same date format, the same shape for every error. Each one is minor on its own. Together they decide whether a developer can guess the next endpoint correctly or must read the docs for every call.
There are real trade-offs to weigh. Deeply nested URLs read nicely but couple resources tightly; flat resources with filters stay flexible. Embedding related data saves round trips but bloats responses for clients that do not need it. Offset pagination is easy to understand; cursor pagination stays correct while records change. Partial updates with PATCH need clear rules about nulls. We make these calls deliberately and record them in a style guide.
A good REST API passes a simple test: a developer new to it can make a correct request from the docs alone, and an error tells them exactly what to fix. That comes from consistency more than cleverness: the same conventions everywhere, sensible defaults, examples for every endpoint and documentation that is generated from the same spec the tests check against.
Who it’s for
Built for teams like yours
- 01
Teams exposing data broadly
Businesses whose API will be called by many languages, tools and partners, where plain HTTP compatibility matters more than squeezing out every request. Standard tooling then works without custom adapters.
- 02
Developers inheriting messy APIs
Teams with an inconsistent existing API that want a clear style guide, tidier conventions and a migration path that does not break current clients. Existing integrations keep running throughout.
- 03
Startups needing a first API
Early product teams building their first back end who want sensible REST conventions in place before the codebase and client count make changes expensive. Good defaults now save rework later.
Why it matters
The details are what make REST easy to use
Plenty of APIs call themselves REST but return 200 for every error, mix verbs into URLs and paginate differently on every endpoint. Developers using them waste days on guesswork. We model your domain as resources, use HTTP methods and status codes the way clients expect, and keep conventions identical across every endpoint.
Because REST rides on plain HTTP, it works with every language, gateway and caching layer. Done properly, that makes it the most widely compatible way to share your data with apps and partners.
Every engagement includes
- Resource modela reviewed map of resources, relationships and URL structure before implementation starts.
- OpenAPI specthe full contract, versioned in your repository and used to generate documentation.
- Endpoint buildhandlers, validation and data access in a framework that fits your stack, such as Express, FastAPI, Django REST Framework or ASP.NET Core.
- Gateway setuprate limiting, authentication and request logging through an API gateway where it helps.
- Contract testsautomated checks that every response still matches the published specification.
- Interactive docsSwagger UI or Redoc pages your developers and partners can send test requests from.
Features
REST done properly
- 01
Resource-oriented design
Nouns, relationships and URL structure planned around your domain, not around database tables or internal function names.
- 02
OpenAPI specification
A machine-readable spec that drives documentation, client SDK generation, mock servers and automated contract tests.
- 03
Pagination, filtering, sorting
Cursor or offset pagination and consistent query parameters so large collections stay fast and predictable for clients.
- 04
Idempotency keys
Safe retries on POST requests, so a dropped connection never creates a second order or payment.
- 05
HTTP caching
ETags, Cache-Control headers and conditional requests that cut load on your servers and speed up clients.
- 06
Standard error responses
Problem-details error bodies with meaningful status codes, so clients can handle failures in code instead of guessing.
In practice
Where REST is the right call
Partner data access
Partners read catalog, availability or account data through well-documented resources they can call from any language, cache through standard HTTP and test without special tooling. Conditional requests keep repeated reads light on your servers.
CRUD-heavy business apps
Admin panels, booking systems and internal tools built on clear create, read, update and delete operations, where REST maps naturally onto the domain. Consistent filters and sorting make list screens simple to build on any client.
Bulk import and export
Asynchronous job resources that accept large uploads or produce exports, returning a status URL clients poll instead of holding one long request open. Results are kept available for download until the client collects them.
Cleaning up a legacy API
An inconsistent API brought under one style guide through a new version, with the old endpoints kept running and monitored until clients move across. Usage logs show exactly when the old version can be switched off.
Process
How we work
- 1
Domain modeling
We list your business entities and the actions users take on them, then turn them into resources, sub-resources and a few deliberate action endpoints where pure CRUD does not fit.
- 2
Style guide
We write the conventions once: naming, casing, pagination, filtering syntax, date formats, error bodies and versioning, then enforce them automatically with a linter on the spec. New endpoints then follow it by default.
- 3
Spec first
The OpenAPI document is drafted and reviewed with client developers before handlers exist, using generated mocks so front-end work can start in parallel. Disagreements about naming or shape are settled in review, where changes cost minutes.
- 4
Implement and verify
Handlers, validation and data access are built, and contract tests confirm every response matches the spec, including error cases and edge-case parameters. Failures block the merge, so the spec and the running API cannot drift apart.
- 5
Publish and evolve
Docs and generated client libraries are published, and we leave a process for adding fields, deprecating endpoints and introducing versions without surprising consumers. Additive changes ship freely; breaking ones follow the agreed deprecation path.
Deliverables
What you receive
- REST style guide tailored to your domain
- Resource and relationship diagram
- Spec linting rules enforced in CI
- Generated client libraries for common languages
- Async job pattern for long-running operations
- Example request collection for every endpoint
- Deprecation and versioning playbook
Tools & methods
Frameworks
- Express
- NestJS
- FastAPI
- Django REST Framework
- ASP.NET Core
- Spring Boot
Spec & tooling
- OpenAPI 3.1
- Spectral
- Redoc
- Swagger UI
- OpenAPI Generator
- Postman
Conventions
- RFC 9457 problem details
- Cursor pagination
- ETags
- HATEOAS links where useful
FAQ
Frequently asked questions
Anything else about REST APIs? Ask us directly.
In practice it means modeling data as resources with stable URLs, using HTTP methods for what they mean (GET reads, POST creates, PUT and PATCH update, DELETE removes), returning accurate status codes and staying stateless between requests. We follow those conventions consistently, which is what makes an API predictable for the developers using it.
Let’s work together
Have a project in mind?
Book a strategy call and we’ll show you exactly how to turn your goals into a system that generates consistent results.