Node.js

QwertyBit builds custom Node.js backends, APIs, and full-stack Next.js applications for teams that need real-time, typed, production-grade services — often as the customer-facing layer in front of Python-based AI agents.

Why Node.js sits next to our Python agents

Python is brilliant for agents and data work. Node.js is brilliant for the customer-facing side — real-time APIs, webhook plumbing, TypeScript across the full stack, and a deployment story that scales horizontally without drama.

Where we use Node.js

• Product APIs that serve agent outputs to web and mobile apps.
• Webhook routing between agents and SaaS tools (Slack, Linear, CRMs).
• Next.js frontends and backends — one language, one deployment pipeline, fewer moving parts.
• Edge functions where sub-100ms response matters.

The standards we insist on

Every Node.js service we ship comes with TypeScript, strict mode, zod-validated inputs on every public surface, structured logging, and test coverage on the paths that matter. The "it works on Monday" stack.

How Node.js connects to agent pipelines

The typical pattern: Python agent writes to a queue or a database. Node.js service serves requests that read the agent's output, often with a cache in front. When an end user needs sub-second response, we pre-compute with the agent and serve with Node.js.

Work with us on Node.js

Node.js backends and Next.js apps are core to our custom software development service — and often the bridge between AI agents and your end users. Talk to us if you want to see how the two sides fit together for your workflow.