Scalable APIs and server infrastructure built to handle growth. Clean architecture, comprehensive testing, proper auth, and the kind of documentation that lets your next developer hit the ground running.

The backend is the foundation everything else depends on. We build APIs that are fast, well-documented, and structured so the next developer (or your future self) can understand what is going on. We default to Node.js for most web backends because it shares a language with the frontend, Go when performance and concurrency matter, and Python when the project is data or ML-heavy. PostgreSQL handles 95% of use cases. We add Redis when caching or real-time features require it.
Clean architecture is not academic theory — it is the difference between a codebase that survives two years of feature additions and one that needs a rewrite after six months. We separate concerns, write tests at the right level, and document the decisions that matter. When you hire your next backend developer, they should be able to read our code and understand the domain model in their first day.
Hexagonal architecture with clear boundaries. Your domain logic does not depend on your database, your framework, or your HTTP layer.
We write tests at the right level — unit tests for business logic, integration tests for data access, API tests for contracts. 80%+ coverage is the floor, not the ceiling.
Everything you need to go from idea to production with backend development.
REST and GraphQL API design with clear documentation
Authentication and authorization — JWT, OAuth, session-based
Database design — PostgreSQL, MongoDB, Redis
Background job processing and message queues
Third-party API integrations and webhook handlers
Real-time features with WebSockets and Server-Sent Events
File storage and media processing pipelines
Comprehensive test suites — unit, integration, and API tests
A proven process refined over 14 years and hundreds of projects. No surprises, no hand-waving.
Model the domain, design the database schema, and define API contracts.
Implement the critical path first with proper error handling and validation.
Connect third-party services, implement webhooks, build admin endpoints.
Load testing, security review, logging, monitoring, and deployment automation.
We have been on the other side of bad agency relationships. We built Fordel to be the development partner we wish we had.
Hexagonal architecture with clear boundaries. Your domain logic does not depend on your database, your framework, or your HTTP layer.
We write tests at the right level — unit tests for business logic, integration tests for data access, API tests for contracts. 80%+ coverage is the floor, not the ceiling.
OpenAPI specs, architecture decision records, and runbooks. The next developer should be productive on day one.
4 projects using backend development
A fintech founder needed an AI chatbot that gives accurate financial answers from their own knowledge base, not generic LLM responses.
Manual claims processing took 15+ days with 23% error rate in data extraction.
Seasonal demand swings caused frequent overstock and stockouts, eating into margins.
Support team was drowning in repetitive tier-1 tickets, with 72-hour average response time.
HIPAA-compliant healthcare technology for patient engagement, clinical workflows, and operational ef...
Logistics and supply chain technology — freight marketplaces, warehouse management, fleet tracking, ...
E-commerce platforms, recommendation engines, and fulfillment systems. We build the technology that ...
Financial technology platforms that handle money, compliance, and trust. We build payment systems, t...
Insurance technology that automates the tedious parts of claims, underwriting, and policy management...
Software-as-a-service platforms with multi-tenant architecture, subscription billing, and the infras...
Technologies we use and recommend for backend development projects. Stack selection always depends on your specific requirements.
Node.js when the team is JavaScript-focused and the workload is I/O-bound (most web apps). Go when you need raw performance, heavy concurrency, or small binary deployments. Python when the project is data-heavy or ML-adjacent.
Prisma or Drizzle for Node.js projects, golang-migrate for Go. All migrations are versioned, reviewed, and tested in staging before production. We never run raw SQL against production.
Start with a well-structured monolith. Extract services only when you have a clear scaling bottleneck or organizational reason. Most teams that start with microservices regret it within a year.
Yes. Structured logging from day one, health check endpoints, error tracking, and alerting. We use Datadog, Grafana, or whatever your team already has. You should know about problems before your users do.
Applications where artificial intelligence is fundamental to the product experience. Not chatbots bolted on as an aftert...
Modern, responsive interfaces that users love. We build fast, accessible frontends with React and Next.js — pixel-perfec...
Cross-platform apps that feel native on iOS and Android. Offline sync, push notifications, app store deployment — one co...
Infrastructure that scales with you. CI/CD pipelines, container orchestration, monitoring, and security. We set up your ...
Not sure what to build first? MVP scoping, technical architecture, and roadmaps that make sense for your runway. Honest ...
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