Full-Stack JS/Node.JS for AI Products
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Module One — A Pragmatic Full-Stack Foundation
Choosing a Node Runtime and Framework for AI Workloads
Preview
Type-Safe Contracts Across the Client and Server Boundary
Managing Secrets Config and Provider Keys Safely
3 lessons
Module Two — Calling Model Providers From Node
Wrapping Provider SDKs Behind Your Own Interface
Retries Timeouts and Handling Rate Limits Gracefully
Controlling Token Cost With Prompt and Response Budgets
3 lessons
Module Three — Streaming and Real-Time Interfaces
Streaming Model Responses With Server-Sent Events
Rendering Streamed Tokens in a Responsive Client
Cancellation and Backpressure Under Concurrent Load
3 lessons
Module Four — Retrieval and Vector Search
Chunking and Embedding Documents in a Node Pipeline
Choosing and Querying a Vector Store From JavaScript
Assembling Grounded Prompts and Reducing Hallucination
3 lessons
Module Five — Background Jobs and Agents
Moving Long AI Tasks Into a Job Queue
Building a Tool-Calling Agent Loop in Node
Guardrails Permissions and Sandboxing for Agent Actions
3 lessons
Module Six — Shipping Observability and Cost Control
Tracing AI Requests End to End in Production
Evaluations and Regression Testing for Model Behaviour
Deploying Scaling and Capping Spend for AI Endpoints
3 lessons
Module Five — Background Jobs and Agents
Building a Tool-Calling Agent Loop in Node
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