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Updated Feb 10, 2026
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Part 8: TypeScript — The Language of Realtime and Interaction

Parts 5-7 gave you Python backends, agent frameworks, and cloud deployment. Part 9 teaches the language of the user-facing layer: TypeScript. You'll build interactive, realtime experiences that connect users to the intelligence you've already shipped.

Goals​

By completing Part 9, you will:

  • Write modern TypeScript with generics, unions, and type narrowing
  • Handle async and streaming patterns for chat, voice, and agent tool calls
  • Target multiple runtimes (Node, Deno, Edge, browser) with shared tooling
  • Build and consume APIs using HTTP, SSE, and WebSockets
  • Ship type-safe SDKs with validation and contract testing
  • Deliver great DX through tested CLIs and developer tools

Chapter Progression​

Six chapters map to the frontend skills AI engineers need:

  • Fundamentals (73): Type system, syntax, tooling, and project setup.
  • Async & Streaming (74): Promises, cancellation, SSE, and streaming transport patterns.
  • Runtimes & HTTP (75): Node/Deno/Edge/browser targets plus cross-runtime HTTP clients and servers.
  • Type-Safe SDKs (76): Zod-backed SDK patterns used by major AI providers.
  • Testing (77): Unit, integration, and contract testing for AI interactions.
  • CLI & Developer Experience (78): Publishable CLIs with streaming output and professional UX.

Why this order? You master the language first, then async patterns, then runtimes and networking, then SDK architecture, testing, and finally polished tooling.

Outcome & Method​

You finish Part 9 able to build type-safe clients and interfaces for your AI backends, complete with streaming UX and robust tests. The teaching approach mirrors earlier parts: fundamentals → AI-assisted implementation → reusable utilities → spec-driven capstone work.