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Tutorial B

One Agent to Watch Them All

Paula Bassagañas Òdena

09:00-12:30 CET, Wednesday 4th November

Are you tired of keeping one eye on your CI/CD pipelines? Checking builds, digging into logs, and chasing failing commits? Talking to AI won’t help much; testers need actions, not words.

In this hands-on tutorial, you’ll learn how to build your own AI test monitor using Model Context Protocols (MCPs). MCPs act like a modern USB port for AI: they turn your existing APIs into tools that AI can actually use. With them, you’ll create an agent that:

  • Watches CI/CD executions in real time
  • Reads build outcomes, failing commits, and test metadata
  • Analyzes results to surface root causes and impacted areas
  • Sends a structured email or notification with logs and evidence

By the end of the session, you’ll have a working MCP-powered agentic AI that doesn’t just chat — it acts. You’ll walk away with a repeatable blueprint to extend this approach to your own pipelines, tools, and reporting needs, turning AI into a controlled, testable teammate in your software delivery process.

BACK TO PROGRAMME

What you will Learn

  1. Understand the basics of Model Context Protocols (MCPs).
  2. Discover how MCPs make AI useful in testing processes, not just demos.
  3. Practice real examples of MCP-enabled AI for testing tasks.

Session Details

  • Intermediate
  • 3 hours
  • Interactive tutorial
  • AI-Augmented Automation (Gen AI)
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Session Speaker

Paula Bassagañas Òdena

Boehringer Ingelheim, Germany

As an experienced IT Architect based in Germany, I specialise in seamlessly integrating Test Engineering and Backend expertise. My diverse background spans significant companies, with a notable focus on the health sector, where my determination lies in creating resilient data platform test strategies, particularly in the realm of ETL testing. Beyond the tech realm, my passion extends to teaching at Pompeu Fabra University, where I have the privilege of nurturing the next generation of IT professionals.

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