テクノロジーの未来を探る：MCPからAIエージェントまで

00:00:07 B-trees and database indexes — PlanetScale https://planetscale.com/blog/btrees-and-database-indexes 00:03:10 Effectively use prompt caching on Amazon Bedrock | Amazon Web Services https://aws.amazon.com/blogs/machine-learning/effectively-use-prompt-caching-on-amazon-bedrock/ 00:05:42 Amebaにおける Platform Engineeringの実践 https://speakerdeck.com/kumorn5s/amebaniokeru-platform-engineeringnoshi-jian 00:08:14 AI 2027 https://ai-2027.com/ 00:10:08 コーディング AI エージェントを自作してみよう https://azukiazusa.dev/blog/build-your-own-coding-ai-agent/ 00:12:41 Authorization https://spec.modelcontextprotocol.io/specification/2025-03-26/basic/authorization/ 00:14:49 なぜ MCP なのか https://voluntas.ghost.io/why-mcp/ 00:18:06 TVerバックエンドAPIのリアーキテクチャ - TVer Tech Blog https://techblog.tver.co.jp/entry/api-rearchitecture 00:20:18 MCPに入門する/ Introduction to MCP https://speakerdeck.com/shuntaka/introduction-to-mcp