Microsoft Reactor London

La IA llegado no solo para cambiar como programamos nuestras APIS, si no también como las exponemos en nuestro Gateway. En esta sesion veremos como transformar nuestros catálogos para soportar acceso por MCP, publicar modelos LLM , o aplicar patrones de cache complejos para reducir costes de uso en Tokens. Todo esto buceando en los servicios que nos proporciona Azure API Management, API Center y Azure Foundry.

What if your AI agents actually understood your business? Trusted data, governed semantics, and business context can turn generic AI into experiences grounded in the way your organization really works. The result: answers and insights that are more relevant, more useful, and ready to put to work.

📌 This event is part of a series. Learn more here:
https://aka.ms/DataDays/FabConRecap/y
https://aka.ms/DataDays/IntoCerts/y
https://aka.ms/AIatWork/UnderstandIt/y
https://aka.ms/AIatWork/BuildIt/y
https://aka.ms/AIatWork/ShowIt/y

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In this session, we’ll walk through a single pull request end to end and show how GitHub helps your team close the gap between code that’s written and software that’s trustworthy.
You’ll learn how GitHub supports stronger security and quality outcomes without adding more pressure to developers or reviewers.
You'll learn:

How to get a comprehensive view of the vulnerabilities in your codebase—including areas traditional scanning tools might miss.

How GitHub Code Security helps you turn findings into validated, review-ready pull requests, so you can shrink your backlog.
Tangible next steps on how you can automatically apply standards and make trust a consistent part of the development process.