
Activity in Spanish
The growing adoption of AI and LLM models with ever-increasing capabilities requires Quality teams to evolve from a deterministic approach to a probabilistic one, detecting biases and monitoring unwanted behavior in production, while maintaining the critical, analytical, and inquisitive capacity that characterizes us. This talk will address the challenges that the arrival of AI has brought to our specialty and its main opportunities for improvement in areas such as data quality, explainability, and bias identification.
Activity in Spanish
In this talk, we explore the evolution of software testing from traditional approaches to a new era powered by Artificial Intelligence. Through key steps, we show how AI can automatically generate test cases, detect errors before they occur, analyze results more efficiently, and dynamically adapt to system changes. We also highlight the role of intelligent assistants and the importance of adopting a culture of continuous learning in QA. This transition not only improves software speed and quality but also redefines the tester's role as a strategic professional in the digital age.
Activity in Spanish
In this talk, we'll explore the fundamentals of automated testing, focusing on the automation pyramid and its various layers. We'll explore how artificial intelligence can be integrated into each of these layers to enhance its effectiveness. We'll also cover the concept of an automation platform, understanding what it takes to build one and how to practically apply AI to achieve concrete results. Through this integration, the goal will be to move toward a more robust, flexible, and scalable automated testing strategy.
Activity in Spanish
We'll explore how Quality Engineering Insights (QEI) provides comprehensive visibility into key metrics such as coverage, defect leakage, stability, and cycle time, while Test Reporting & Analytics (TRA) provides centralized reporting, AI-powered failure analysis, custom dashboards, and automated Quality Gates. The session includes a hands-on demonstration of how these AI agents drive real improvements in test cycle efficiency and quality.
Activity in Spanish
The talk will focus on the use of MCP Midscene, an artificial intelligence agent designed to automate web test creation. It will explore how Midscene converts natural language instructions into complete end-to-end tests, without the need to manually write code. It will explain how the agent interacts directly with the browser to perform actions and, at the same time, generates the corresponding Playwright code. Finally, it will discuss how these tests are saved in the repository for use in continuous integration workflows, enabling significant savings in time and resources in test automation and reporting.
Activity in Spanish
As a testing leader, I understand that software quality requires balance. Our processes must avoid inertia (the "calm") and chaos (the "hurricane"). The key is to ask ourselves: What does quality mean for our software and why do we pursue it? Are our current processes truly contributing to that goal? Is the team aligned and working collaboratively to achieve it? Are we comprehensively covering all aspects of quality? Often, the answers to these questions lead us to "shuffle and deal again." It's about redefining processes to adapt to the reality of each team, ensuring that quality is achieved, maintained, and visible. The answers often lead us to the conclusion that we need to completely rethink our processes. This talk focuses on how, through real-life experiences in companies in the region, we managed to reformulate and adapt quality strategies so that teams achieve their maximum performance.
Rodrigo Damián Sosa Carballido
Activity in Spanish
In a world where development and QA teams work from different countries, how can geographic diversity be turned into an advantage for the software lifecycle? In this closing talk, Raissa and Rodrigo will discuss what it means to work as a single team when we're spread across the globe. With specialized pods and units, a touch of AI, and DevSecOps practices, they will show how to break down silos, gain speed, and maintain quality. More than just a methodology, it's a new way of collaborating in the digital age.
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