Node.js development
Node with TypeScript is our usual choice for the API layer of a web product, particularly where streaming and many concurrent connections are involved.
Where we use it
It shares a language with the front end, which cuts context switching and lets types be shared across the boundary rather than duplicated and drifting apart.
For AI features it handles streaming responses to browsers cleanly, which is the common case in chat and generation interfaces.
- Typed REST and GraphQL APIs
- Streaming endpoints for AI responses
- Webhook receivers with idempotency and retries
- Background job processing with queues
- Structured logging and health checks
- Shared types between server and client
Where Node earns its place
One language across the front end and the API removes a whole category of friction: shared types, shared validation schemas, one set of tooling, one mental model for the team. For a product team already writing TypeScript, that is worth more than any benchmark difference.
It is also genuinely good at the thing AI products do most — holding many concurrent connections open while streaming tokens through them. That workload is nearly all waiting, which is exactly what an event loop is for.
How these services are built
TypeScript in strict mode, request validation at the boundary with schemas that also generate the API types, structured JSON logs with a request ID threaded through every call, and health endpoints that check dependencies rather than returning a fixed OK.
Long-running AI calls get particular attention: timeouts that fire before your platform's do, retries with backoff on the failures worth retrying, idempotency keys so a retried request cannot bill twice, and cancellation that actually reaches the provider when a user closes the tab.
Frequently asked questions
Node or Python for the backend?
Node when it is primarily serving a web front end, especially with streaming. Python when the work is data or AI processing heavy. Plenty of projects use both, each where it is stronger.
How do you handle long-running work?
Queues and workers, not HTTP requests held open. The client gets a job reference and progress updates, which also survives a page refresh.
Tell us what you are building.
Send a short description of the problem and we will reply within one business day with an honest view of scope, cost and whether we are the right person for it.
Or email directly: contact@hire-ai-dev.com