
Activity in English
Artificial Intelligence is rapidly becoming an accepted means of accelerating software engineering and testing activities. Many organizations have already integrated AI into their software development lifecycle, and the demand for AI-assisted engineering continues to grow year over year. A key motivating factor behind the demand is the promise of increased speed and efficiency through automation. Software testing is a prime candidate for AI acceleration due to the generally high costs and significant manual effort involved in validation and verification. As a result, we are seeing an exponential growth in the application and development of tools to support AI-driven test automation. But what does the adoption of AI-driven automation mean for the future of software testing? Is AI going to replace manual testers and/or test automation engineers? It seems like these questions are quickly growing old and repetitive because no one is providing definitive answers based on practical, real-world analysis. Join industry expert Tariq King as he takes you on a journey into the future of software testing. Tariq firmly believes that AI will take over software testing and permanently transform the quality engineering landscape. He postulates that the future of testing will be focused on evaluating human experiences, including testing digital, physical, and experiential touchpoints. In the age of AI, human experience testing will not just be viewed as a quality assurance function, but as a core component of an organization's business strategy. Welcome to the future of quality where AI specifies, designs, codes, and tests software, leaving the humans to do the one thing the machines can't – test the human experience.
Activity in Spanish
Quality is not a one-time activity or the sole responsibility of the tester: it is a sustained practice that is built collectively within the team. The QPAM (Quality Practices Assessment Model) proposes a structured way to review, discuss, and improve how each team approaches quality in their daily work. In this talk, I will share how to use QPAM as a tool to enhance quality strategies from within the team: by triggering honest conversations about what we do, what we don't do, and why. We will see how QPAM helps us gain awareness of the current state of our practices, strengthen collaboration, and promote real improvements aligned with both the technical needs of the context and business objectives.
Activity in Spanish
We are experiencing a transformative time in the banking industry: advancing technology, mergers between banks and increasingly demanding users, and artificial intelligence in more and more contexts. In this context, QA teams face the challenge of maintaining quality, adapting to change, and demonstrating their value. In this panel, we will discuss what this reality is like from the inside: what technical decisions are made, how quality is scaled in complex structures, and what role QA plays in today's banking. Panelists: Natalia Higueret, Ruben Aguirre, Silvina Miranda, and Mehran Nazar. Moderated by Cecilia Benassi.
Activity in Spanish
We're living in the era of AI, and logically, we want to incorporate AI into QA, but do we really know how to take advantage of it? In this talk, I want to open an honest conversation about the key questions before implementing a solution: What do we want it for? What do we expect it to solve? How do we know it's working? I'll also share some real-life examples and challenges I encountered along the way. The idea isn't to talk about tools, but rather how to use AI judiciously, with focus, and with purpose... not just because it's trendy.
Activity in Spanish
In this talk, we'll explore the technical and strategic challenges of this type of transition, focusing on the critical role of Quality in ensuring a secure, efficient, and scalable integration.
Activity in Spanish
The professional life of a QA can be compared to a video game: advancing levels, facing challenges, overcoming monsters and bosses. Just like in RPGs, each person gains experience, skills, tools, and allies to face challenges in their work, finances, and personal lives. The talk will be filled with power-ups, extra lives, and levels to learn. Get ready to level up and conquer your professional life like a true QA hero!
Activity in Spanish
Artificial intelligence is redefining testing: it accelerates tasks, enhances skills, and enables faster delivery of quality-based value. In this talk, I will present concrete metrics to measure this impact and clearly communicate it to decision-making levels. I will also share real-life cases where functional testers scaled their contributions with AI and how to support this change process. We will also discuss how to start with low risk, enabling results from the first use. This talk is designed for quality leaders, evolving testers, and organizations seeking frictionless transformation.
Activity in English and Spanish
Moderated by: Javier Re / Panelists: Tariq King and Dionny Santiago.
Activity in Spanish
What if the backlog could talk? What if your IDE could understand the context, write tests, suggest edge cases, and help you test software without losing focus? People often talk about the lack of time and technical knowledge to start automating tests. In this talk, I'll show you how to break out of that death spiral without needing to be an expert. I'll show you how to automate tests in an AI-first way using Playwright's MCP Server and GitHub, all orchestrated by agentic IDEs and powered by robust pre-prompting rules that will prevent you from falling into the usual hallucination.
Activity in English
In this talk, we'll explore the value of data as a key tool for making objective decisions in the field of quality. We'll see how well-defined indicators not only help us detect deviations and opportunities for improvement, but also strengthen conversations by providing concrete evidence to support our actions.
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