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Context engineering
The skill of choosing what a model sees for a task: the instructions, the right documents, the memory and the tool results, and leaving out the rest.
Why it matters
Better context beats a cleverer prompt. It is why two teams using the same model get very different results.
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Model Context Protocol (MCP)
MCP is an open standard that lets AI apps connect to tools and data in one common way, so nobody has to build a custom link for every app and tool pair.
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Agentic AI
Agentic AI plans and takes steps on its own, using tools, instead of only answering one question at a time. It can search, decide, act and check its work.
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Agent-to-agent (A2A)
A young standard that lets AI agents from different makers hand tasks to each other and follow progress, the way colleagues would.