Node.js Development Services | Scalable Backend Solutions | Hyxil

Node.js Development Company | TypeScript, APIs, AI Backends | Hyxil
Hyxil → Services → Development → Node.js Development
🟢 Node.js Development Company · Since 2014

Node.js Development Company Building TypeScript-First APIs, Real-Time Systems, and AI Backends

TypeScript by default. Written architecture document before code. Fastify for high-throughput APIs, NestJS for enterprise backends. BullMQ for job queues. Prisma for type-safe database access. LLM integration with streaming, orchestration, caching, and error handling. The Node.js practice that does not cause problems in production.

✓ TypeScript strict mode — frontend and backend, same standard
✓ Written architecture document: API contracts, data models, auth strategy — before code
✓ LLM backends with orchestration, caching, streaming, and error handling built correctly
✓ Real-time systems: WebSockets, SSE, BullMQ job queues, event-driven architecture
Why We Are Different
💡

TypeScript-First Node.js — Written Architecture Before Code

Most Node.js backend problems are not technology problems. They are architecture problems discovered in production. We document every data model, API contract, authentication strategy, and infrastructure decision before the first line of code — and we enforce TypeScript strict mode so type errors never reach production.

TypeScriptStrict mode, always
WrittenArchitecture first
12+Years of backend development since 2014
TypeScriptStrict mode on every backend project
WrittenArchitecture document before code starts
FixedScope and price, always
TypeScript strict · Fastify · NestJS · Prisma · BullMQ · OpenAI · Anthropic · Vector databases
Our Approach

Why TypeScript-First Node.js Prevents the Problems Others Debug Later

JavaScript backend problems are well-documented: runtime type errors that a compiled language catches at build time, data model drift between API contracts and database schema, authentication edge cases that surface under load, and LLM integration that works in a demo and fails in production because streaming error recovery was not considered. TypeScript strict mode, Prisma's type-safe query builder, and Zod request validation together eliminate the majority of these failure modes before deployment.

Node.js 22TypeScript strictFastifyNestJSPrismaPostgreSQLRedisBullMQSocket.ioOpenAI SDKAnthropic SDKPineconeWeaviateZodOpenAPIGitHub Actions
Why It Matters

TypeScript strict backend vs untyped JavaScript — six months in

ProblemUntyped JavaScriptTypeScript Strict Mode
Type errorsRuntime errors in productionCaught at compile time, zero runtime surprises
API contract driftFrontend and backend disagree silentlyShared types enforced at compile time
Database schema driftORM model diverges from DB schemaPrisma generates types from schema automatically
LLM streaming errorsUnhandled in productionError recovery and abort handling typed and tested
Onboarding new devsRequires reading all the code to understand typesTypes serve as enforced documentation
What We Build

Our Node.js Development Services

🔌

REST and GraphQL API Development

TypeScript REST APIs built with Fastify (high-throughput) or NestJS (enterprise DI and testing patterns). GraphQL with type-safe resolvers and DataLoader for N+1 prevention. Every API ships with OpenAPI documentation generated from the code.

🤖

LLM and AI Backend Development

Node.js backends that integrate OpenAI, Anthropic, Llama, and open-source models correctly. Streaming response handling, tool use orchestration, embedding generation, vector database querying (Pinecone, Weaviate), semantic search, and RAG (Retrieval-Augmented Generation) pipelines.

⚡

Real-Time Application Backends

WebSocket servers with Socket.io or native ws, Server-Sent Events for streaming AI responses, BullMQ for distributed job processing, and event-driven architecture for systems that need to react to state changes without polling.

🗄️

Database Architecture and Prisma

PostgreSQL schema design, Prisma ORM with generated TypeScript types, query optimization, index strategy, database migration management, and connection pooling configuration. Type-safe queries from the first migration.

🏗️

Microservices and API Gateway

Microservice decomposition from monolith, inter-service communication patterns (REST, gRPC, message queues), API gateway configuration, service mesh basics, and distributed tracing. We design for the complexity your scale actually requires — not the complexity a conference talk made sound exciting.

🔗

n8n Workflow Integration

Backend automation using n8n that extends your Node.js application without custom development for every workflow. Automated triggers, data sync between services, AI workflow orchestration, and event-driven business logic that runs reliably without a custom queue implementation.

Proof, Not Promises

Real Results from Real Client Projects

DEVELOPMENT + SEO🔒 NDA PROTECTED✓ VERIFIED DATA

Custom build — #1 rankings across the entire service area

The same engineering discipline we apply to every project. Clean architecture, semantic code, schema markup, and n8n automation for monitoring. One team, full ownership from architecture to production.

9,776Profile views Mar–Aug 2026
359Calls from Google
458Direction requests
100%Grid at #1
Ranking Grid · Ohio
100% #1 at every point
Google Business Profile, Mar–Aug 2026
Ohio, USA · Water Services · NDA protected
How We Work

Our Development Process

Step 1 Discovery

Free Technical Discovery

System review, API requirements analysis, data model assessment, and written technical direction.

Step 2 Architecture

Architecture Document

Data models, API contracts, auth strategy, database schema, queue design, and infrastructure topology. You approve before code starts.

Step 3 Setup

Project Setup and Toolchain

TypeScript strict, Prisma, linting, testing framework, CI/CD pipeline, and environment configuration.

Step 4 Sprints

Sprint Development

Two-week sprints with working APIs on staging, integrated tests, and code review.

Step 5 QA

Load Testing and Security Review

API load testing, authentication edge case review, SQL injection and injection attack surface review.

Step 6 Launch

Production Deployment and Documentation

OpenAPI documentation, environment runbook, and developer handover documentation.

Timeline: A focused API backend takes 6 to 10 weeks. A full backend application takes 12 to 20 weeks. LLM integration and AI pipeline work is scoped per project. Fixed price at every stage.
Why Hyxil

Why Choose Hyxil for Node.js Development

✓
TypeScript strict mode as a non-negotiable standard

No any types, no as casts, no runtime surprises that a compiler would have caught.

✓
Written architecture document before a line of code

Every API contract, data model, auth strategy, and infrastructure decision explicit before development begins.

✓
LLM backends built correctly

Streaming, orchestration, caching, error recovery, and vector database integration. Not just an OpenAI API call.

✓
Real-time expertise

WebSockets, SSE, BullMQ, and event-driven architecture for systems that need to react, not poll.

✓
Prisma type-safe database access

Types generated from schema. Query errors caught at compile time. Database and code always in sync.

✓
n8n automation expertise

Workflow automation that extends your backend without rebuilding it for every new integration.

🟢

TypeScript-first Node.js backends — documented before code, built to stay maintainable

TypeScript strict. Written architecture. Prisma type-safe queries. LLM streaming handled correctly. Fixed price.

✓ TypeScript strict — no shortcuts
✓ Written architecture first
✓ Prisma type-safe database
✓ LLM streaming and orchestration
✓ Fixed scope, fixed price

Ready to build a Node.js backend that does not cause production incidents?

Book a free technical discovery call. We review your API requirements, propose an architecture, and give you a written technical direction — whether you hire us or not.

Industries

Services Delivered Across These Industries

SaaS products · AI-powered applications · Real-time platforms · Enterprise integrations · Fintech · Healthcare data · Logistics · Ecommerce backends · Internal API platforms

Questions

Frequently Asked Questions

Why TypeScript for Node.js backends?+
TypeScript with strict mode catches type errors at compile time rather than at runtime in production. It makes API contracts explicit and enforced, enables better IDE support, and serves as living documentation for new developers. The upfront discipline saves significantly more in debugging and incident costs.
How much does Node.js development cost?+
Node.js API development starts at $6,000 for a focused API. Full backend applications fall between $15,000 and $60,000. LLM integration and AI pipeline work is quoted per scope. Fixed price after technical discovery.
What framework do you use — Fastify or NestJS?+
Fastify for high-throughput APIs where performance is the primary concern. NestJS for enterprise backends where dependency injection, structured testing, and team scale justify the framework overhead. We recommend based on your specific requirements.
Do you integrate LLMs into Node.js applications?+
Yes. OpenAI, Anthropic, and open-source models via Ollama. Streaming response handling, tool use orchestration, embedding generation, vector database querying, and RAG pipelines — not just an API call wrapped in a function.
What database do you use?+
PostgreSQL as the default relational database with Prisma ORM for type-safe queries. Redis for caching and session management. Elasticsearch for full-text search. Pinecone or Weaviate for vector search in AI applications. Database choice documented at architecture stage.

Ready to Build a Node.js Backend That Stays Maintainable in Production?

Written technical recommendation within one week · Fixed price · No commitment

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