Every API we ship has OpenAPI documentation, structured logging, rate limiting, and a test suite. No cowboy code, no technical debt handed to you on day one.
What We Deliver
Backend Development Services
REST API Design & Development
OpenAPI-first API design, Fastify route handlers, request validation with Zod, and response serialisation — typed end-to-end with TypeScript so frontend and backend never disagree on data shapes.
Authentication & Authorisation
JWT-based auth with Clerk or custom implementation, role-based access control, API key management, OAuth 2.0 / OpenID Connect integration, and session management.
Database Design & ORM
PostgreSQL schema design, Prisma ORM setup, migration management, query optimisation, and row-level security for multi-tenant applications.
Caching & Queue Architecture
Redis caching strategy (cache-aside, write-through), BullMQ job queues for async work (emails, file processing, webhooks), and rate limiting to protect your API from abuse.
Microservices & Monolith
We default to a well-structured monolith and extract services only when you have a genuine scalability or team boundary reason to do so — not because microservices are fashionable.
API Documentation
Auto-generated Swagger UI from your Fastify route schemas, plus a written integration guide for any third-party consumers. Your API is documented before it ships.
How It Works
Our Backend Development Process
Architecture Design
Data model, API contract (OpenAPI spec), service boundaries, and integration map agreed with your team before implementation begins.
API Spec
Full OpenAPI specification written and reviewed. Frontend team can start mock development immediately using the spec.
Development
Fastify routes, Prisma schema, Redis integration, and BullMQ workers built in two-week sprints. Staging environment available from week 2.
Testing
Vitest unit tests for business logic, integration tests against a real PostgreSQL instance, and load testing with k6 to verify your SLAs hold under traffic.
Documentation
Swagger UI deployed to staging, integration guide written, and environment variable documentation added to the README.
Deployment
Production deployment to Railway or AWS, health check endpoints, structured logging to Datadog, and Sentry error tracking configured.
Technologies We Use
FAQ
Common Questions
REST or GraphQL?
REST for most projects — simpler to implement, easier to cache, and better understood by most teams. GraphQL when you have many different clients (web, mobile, third-party) with very different data requirements, or when over-fetching is a genuine performance problem. We build both.
Monolith or microservices?
Monolith first, always. A well-structured monolith is faster to build, easier to debug, and simpler to deploy. We extract a service when you have a specific reason: independent scalability, team autonomy, or a polyglot requirement. Most startups that went microservices too early regret it.
How do you handle authentication?
Clerk for new projects — it handles JWTs, sessions, MFA, social login, and organisation management out of the box, so we focus on your business logic. For projects with compliance requirements that prevent third-party auth, we implement a custom JWT stack with refresh token rotation.
How do you handle API versioning?
URL prefix versioning (/v1/, /v2/) for public APIs that third parties consume. For internal APIs, we use a monorepo with a shared type package so breaking changes are caught at compile time before they reach production.
Do you implement rate limiting?
Yes — always. We use Redis-backed sliding window rate limiting at the API gateway layer, with separate limits per route (e.g., stricter on auth endpoints). DDoS protection sits at Cloudflare before requests even reach your server.
Ready to Get Started?
Tell us about your project and we'll respond within 24 hours with a scoped proposal.