This article discusses the importance of context engineering in AI coding, emphasizing how it differs from traditional prompt engineering. It explores how effective context can enhance AI's performance within teams and outlines strategies for creating better workflows.

This article discusses the challenges of managing context in AI agent development, emphasizing the need for a structured approach called context engineering. It introduces the Google Agent Development Kit (ADK), which separates context storage from presentation and optimizes how context is compiled and utilized during agent interactions.