FlexiLingo
Agent, skill, or MCP? Which to use and when to use them | AWS’ Clare Liguori
- 访谈
- 科技
Every engineering team wants to build its own custom AI agent, but what if all your organization needs is a standardized skill or a stateless MCP server? This week on Dev Interrupted, Andrew sits down with AWS Senior Principal Engineer Clare Liguori to untangle the ecosystem of modern agentic architecture. They work through how a team decides which AI building blocks to own, and how to get that reach without inheriting a maintenance burden. Clare shares her perspective on the simplified MCP 7.28 spec and why stripping away heavy custom scaffolding is how enterprise AI scales. That same...
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Legore, a senior principal engineer at AWS. She also leads the open source strands SDK
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B2 · 中高级
能看懂电视新闻就会觉得轻松
- 77% 的单词在 B1 或更简单的水平。
- 每分钟 171 词：自然语速，偏快。
- 整集共有 172 个较难的单词（B2 及以上）。
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较难的单词（B2+）
Welcome back to Dev Interrupted, brought to you by Linear-V. My guest today is Claire Legore, a senior principal engineer at AWS. She also leads the open source strands SDK and is a core maintainer for MCP. And this one's a treat for me because we've been following MCP's journey from the very beginning, from its huge initial hype cycle to its death, to its return,
to it's now easy to adopt stateless form in the recent 728 spec. And Claire is one of the people driving that roadmap behind the scenes
and also building an agent framework born from cross-team needs at AWS. And Claire and I dig into not only the next version of MCP but what you should be doing now
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