Three Videos to Learn Context Engineering for AI Agents

Context engineering is becoming a core skill for anyone building with LLMs or AI agents. This video recommends a specific three-video learning path that covers the fundamentals, practical agent techniques, and advanced wiring, in that order.

The Learning Path

Video 1: Context Engineering Challenges and Tips. This is the starting point. It explains what context engineering actually is, what happens when you ignore it, and walks through real-world case studies. It runs about an hour and twenty minutes and is taught by a product leader with experience at Google, Meta, Microsoft, and AWS.

Video 2: Context Engineering for AI Agents. This one focuses on practical techniques for keeping your agents reliable and grounded. The instructor is one of the earliest engineers who worked on GitHub Copilot, so the material comes from direct experience building production agent systems.

Video 3: Advanced Context Engineering. The final video is technical and assumes you understood the first two. It shows how to wire everything together in practice. The creator warns that this one is not for everyone and recommends solid footing in the fundamentals before watching.

Key Takeaways

• Start with the fundamentals before jumping into advanced material
• The three videos progress from concepts to agent-specific techniques to implementation
• The instructors come from Google, Meta, Microsoft, AWS, and the GitHub Copilot team
• Context engineering determines whether your agents stay reliable or drift into irrelevant outputs

Resources

• Maven -- Course platform hosting the context engineering videos