Skip to main content
Context Engineering is an emerging discipline focused on designing, managing, and optimizing the information provided to large language models (LLMs) and AI agents to enhance their performance, reliability, and consistency. While prompt engineering concentrates on crafting specific inputs, context engineering encompasses the entire spectrum of contextual elements that influence an AI system’s behavior and outputs.
Diagram illustrating the context editing process with information flow between user input, context management, and AI agent responses

https://blog.langchain.com/context-engineering-for-agents/

Context Editing is the most important part of context engineering that keep your agent running smoothly.

Further Reading