3 links tagged with all of: ai + tools + context-engineering
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The article discusses how Dash evolved from a basic search system to an agentic AI by implementing context engineering. It highlights strategies like limiting tool definitions, filtering relevant context, and introducing specialized agents to improve decision-making and performance.
This article outlines the development of the Azure SRE Agent, focusing on the importance of context engineering in improving reliability and efficiency. It discusses the transition from numerous specialized tools to a few broad tools and generalist agents, highlighting key insights gained throughout the process.
This article outlines the development of a deep research agent that leverages AI to enhance information gathering and synthesis. It discusses the challenges faced in building an effective agent harness, the importance of context management, and the evolution of models and tools to improve research capabilities.