Research shows heavy AI use can erode the skills you rely on it to replace. But the most experienced users have quietly arrived at a different approach - and it looks nothing like delegation.

Context engineering is the next big thing If you have been following the AI space recently, you may have come across the term context engineering . Coined by Shopify CEO Tobi Lütke and quickly endorsed by Andrej Karpathy, the argument is that "prompt engineering" undersells what is actually going on when you get consistently good results from an AI model. "The art of providing all the context for the task to be plausibly solvable by the LLM."  - Tobi Lütke, Shopify CEO Clever

Modern AI chat tools are powered by Large Language Models (LLMs), which are sophisticated systems trained on vast amounts of text data to understand and generate human-like responses. LLMs like Claude and Gemini don't truly "understand" in the human sense, but they excel at recognizing patterns in language and predicting what text should come next based on your input. This is why the quality of your prompt matters so much. The AI model can only work with what you give it, m

Do you over-rely on AI? Understand the risks of using AI for self-directed learning. Struggle productively. Reclaim your critical thinking.

Master advanced prompt engineering techniques like Chain-of-Thought, ReAct, and role-based prompting strategies to get smarter LLM responses