Want to build AI applications that feel intelligent, responsive, and remarkably human? Context engineering is the secret! Whether you're building a customer support chatbot, a coding assistant, or the next breakthrough AI tool, learning context engineering will make your applications smarter, more reliable, and more user-friendly.

What is Context Engineering? Context engineering is the art and science of managing how information flows into AI models. It's about controlling what the AI "remembers," ensuring it doesn't crash when conversations get long, and making it behave exactly how you want it to. Techniques like system prompts, token-based trimming, and context summarization enable you to build production-ready AI applications that can handle real-world usage, not just demo scenarios. As with all Scrimba courses, we'll be getting hands-on with the code as we progressively incorporate context engineering techniques: You'll start by implementing system prompts to give AI assistants personality and purpose. Then you'll build applications that handle long conversations without crashing by managing the context window intelligently. Finally, you'll incorporate AI-powered summarization to preserve important context while staying within token limits—the same technique used in production by major AI companies. Whether you're a frontend developer exploring AI development or a backend engineer looking to add AI capabilities to your applications, this course will teach you foundational context engineering techniques you can apply immediately in your projects.