AI Testing
SPONSOR TRACK TALK
Nexus: the multi-agent revolution that is redefining testing
Test automation has evolved from manual scripts and isolated frameworks to intelligent platforms capable of generating tests, synthetic data and traceability almost instantly. The emergence of large language models (LLMs) and multi-agent systems marks a new era in QA, speeding up repetitive tasks, improving coverage and facilitating continuous updates in response to changing requirements. However, this progress also demands technical maturity: human review, context control, pipeline security and real-world behaviour validation.
This talk will demonstrate how a multi-agent approach can transform testing throughout the entire test lifecycle. It will explain how these agents help to speed up repetitive tasks, improve coverage, incorporate quality controls, and integrate functional testing and technical review into a continuous workflow. It will also address best practices for adoption, the essential role of human supervision, and the main risks and limitations that must be managed in order to apply AI to QA judiciously and with real value.
What you’ll learn
From this talk you will learn:
Session details
Jaime Rodríguez Medina
Jaime Rodríguez has a technical background specialising in QA, with extensive experience in test automation and proficiency in various programming languages and testing frameworks. His career has been closely linked to DevOps environments, integrating QA into these models and also covering performance and security testing within the DevSecOps cycle. At ALTEN, he serves as Technical Service Manager, supporting clients in defining robust solutions. He is also part of the solutions architecture team, where he leads artificial intelligence initiatives applied to the field of QA.
José Barragán Andrade
José Barragán is a Senior Enterprise Architect with over 20 years’ experience in the IT sector. Throughout his career, he has worked with a wide range of enterprise technologies, contributing to the design and development of high-performance production environments. His profile is characterised by a strategic and technical vision focused on the continuous improvement of the software development lifecycle. In particular, he focuses on the application of artificial intelligence solutions to the SDLC, driving approaches that are more efficient, scalable and aligned with organisations’ technological transformation needs.