Learn Context Engineering
Scrimba's short Pro course on context engineering, taught by Arsala Khan in about an hour. It tackles a narrow but increasingly important problem: keeping AI apps from forgetting things or falling over as conversations grow.
Quick answer
Learn Context Engineering is Scrimba's intermediate, Pro-tier course on managing context in AI apps: roughly 60 minutes across 13 lessons, taught by Arsala Khan. Using the Vercel AI SDK and the OpenRouter API, you learn how to keep important details in scope so apps do not crash or lose track of the conversation. It is a focused follow-up to the AI fundamentals, not a starting point.
Learn Context Engineering
ProTaught by Arsala Khan (opens in a new tab)
Manage context with the Vercel AI SDK and OpenRouter so AI apps don't forget important details or crash.
View on Scrimba (opens in a new tab)Is it worth your time?
Context handling is one of the real-world headaches once an AI app gets past a demo, and it is rarely taught directly. At an hour, this is a quick, targeted fix for a problem you will hit. It uses mainstream tooling (Vercel AI SDK, OpenRouter), so the techniques carry into actual projects.
The honest caveat is that it is niche and short. It assumes you already build AI apps and know why context matters, and it will not teach you the fundamentals along the way. Come to it once you have a project that is starting to forget things, not before.
What you'll learn
The course works through context engineering concepts in a practical setting: how to decide what to keep, what to drop, and how to structure what you send the model so an app stays coherent and stable as a session grows. The Vercel AI SDK and OpenRouter are the vehicle, and the lessons are hands-on rather than theoretical.
Who it's for, and who should skip it
It fits developers already building AI features who are running into context-window problems and want a deliberate way to handle them. It suits both AI engineers and full-stack developers adding AI to an app.
Skip it if you are new to building with LLMs; the problem it solves will not be concrete yet. Do Intro to AI Engineering first, then return.
Prerequisites
JavaScript and prior experience building with LLMs (sending prompts, handling responses). Familiarity with the AI Engineering fundamentals is the right foundation before this one.
Where it fits
This is a focused, optional deepening rather than a path milestone. It follows the AI fundamentals and complements the agent and RAG courses, since context management touches all of them. Take Intro to AI Engineering first, then add this when context becomes a problem in your own builds.
Free or Pro
This is a Pro course requiring a Scrimba subscription. Pro also covers the full AI track, the challenges, the Discord, and certificates. See current plans for pricing in your region.
Strengths and limits
What it does well: it targets a real, under-taught problem, it is short and to the point, and it uses tooling you will actually use.
Where it is limited: it is niche and brief, and it assumes you already build AI apps, so it is no use as an entry point.
Related courses and comparisons
- Intro to AI Engineering, the fundamentals to take first
- Learn RAG, a related approach to grounding LLM output
- Learn AI Agents, where context management matters most
- Build a Support Agent with Vercel AI SDK, the same SDK in a full project
No. It is a Scrimba Pro course requiring a subscription. The free AI starting points are Learn to Code with AI and Intro to Mistral AI.
The practice of deciding what information to keep in an LLM's working context so an app stays coherent and reliable instead of forgetting details or crashing.
Yes. It assumes you already build with LLMs. Newcomers should start with Intro to AI Engineering, then return once the problem is concrete.
The Vercel AI SDK and the OpenRouter API, both mainstream tools you are likely to use in real projects.
Arsala Khan, who also teaches Intro to AI Engineering on Scrimba.