Master the discipline that replaced prompt engineering — designing the information architecture that surrounds every AI request for dramatically better results.
Before
Open any AI tool you use regularly. Before your next request, write down everything the AI currently knows when you ask it something: system prompt, conversation history, any documents. Then write down what information would make the answer perfect. The gap between those two lists is your context engineering opportunity.
After
Context engineering is the systematic practice of designing what information an AI model receives — not just how you phrase your question. Most AI failures are context failures, not model failures. Fix the context, and the same model produces dramatically better results.
Tip
Be specific about what you need. The more context you provide, the better the result.
Your result will appear here.
What Is Context Engineering & Why It Replaced Prompt Engineering
Define context engineering and explain how it differs from prompt engineering
Context Design Patterns
Apply retrieval-augmented context to ground AI responses in specific documents
Applied Context Engineering Across Domains
Design domain-specific context strategies for legal, medical, and technical workflows