# AI Engineering is its own discipline now

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## Email content

Hi there,

Scott Moss, Senior Dev at Netflix, has been mentoring his teammates on getting AI into production. He says this new practice area, “AI Engineering,” isn’t just about adding agents to your apps, but about building reliable AI features that actually work for your customers. He turned everything he's learned into this new course!

AI Engineering Fundamentals

Build a real AI agent into a working app, then learn the discipline of making it reliable. You build an AI-assisted Excalidraw diagram app, so every technique gets tested against a real product.

Scott Moss teaching his new AI Engineering course

What you'll walk away with:

Ship a real AI agent into a working app: streaming chat, client-side tools, live canvas integration on Cloudflare's edge.

Set up an eval harness that catches regressions before users do, with golden datasets, code-based scorers, and Braintrust for observability.

Get fluent in context engineering. The model only knows what you give it each turn, so you'll learn to write a tight system prompt, serialize canvas state with TOON, and pick few-shot examples that earn their tokens.

Better tools: client-side CRUD operations the agent invokes like any user would, with web search and RAG for context that lives outside the app.

Scott's improvement loop is the through-line of the whole course. Run evals, form one theory, change one thing, rerun. He calls it the actual discipline of AI engineering.

Ramp up on AI with 40% off your month! https://frontendmasters.com/courses/ai-engineering/

--

Marc Grabanski

CEO, Frontend Masters

P.S. We sat down with Scott for a fireside chat on AI and where software engineering is heading: https://youtu.be/MYLsBdifOUg

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