Lesson 7 Context Engineering

In this video, we provide a complete introduction to Context Engineering and explain how giving the right context improves the quality of AI-generated results. You will learn what context means in AI systems, how to provide structured information to AI tools, and why context is essential when generating test cases, automation scripts, or analyzing requirements. The video also demonstrates practical examples using requirements, HTML pages, and API documentation. This lesson is designed for QA engineers, automation testers, and anyone who wants to work more effectively with AI tools in software testing and development. Topics covered in this video: What is Context Engineering How AI uses context Providing requirements to AI Using HTML as context Using API documentation as context Building smarter prompts with context By the end of this video, you will have a clear understanding of how Context Engineering can improve AI accuracy and help generate more relevant outputs. This video is part of an AI-Powered QA Engineering series focused on combining Artificial Intelligence with software testing and automation. Subscribe for more AI, QA, and automation testing tutorials. 🚀