6th December 2023
05:00 PM - 07:00 PM MST
Explore how AI Agents, Language Models, and MCPs (Model Context Protocols) are transforming the way we work with Quality Assurance. More than just trends, these concepts are already impacting the daily routine of QA professionals, from intelligent test scenario generation to cognitive automation, requirements analysis, bug investigation, and pipeline acceleration.
This session provides a practical and strategic perspective on how to integrate agents and models into the quality workflow, enhancing productivity, decision-making, and the evolution of a QA career in the era of Artificial Intelligence.
– What AI Agents, Language Models, and MCPs are
– How agents can support scenario creation, requirements analysis, and bug investigation
– Real productivity and decision-making gains
– Risks, limitations, and considerations when applying AI in Quality Assurance
Married, a father, and passionate about his family. A Carioca at heart, he divides his time between samba and technology, always connecting people and quality. Involved in test automation since 2007, he built his career working on end-to-end projects in the telecommunications and oil and gas sectors. Throughout his career, he has gained experience in test automation, continuous integration, DevOps culture, and end-to-end quality strategies. Over the last five years in Portugal, he has been strongly focused on team leadership, career development, and mentoring technology professionals, while also being directly involved in projects based on Artificial Intelligence applied to Quality Assurance.
Most QA professionals work in a world with safety nets. If a bug reaches production, we deploy a hotfix, roll back the server, and the world keeps spinning. But what happens when the “Undo” button simply does not exist?
In this session, we dive into the high-risk ecosystem of QA in Blockchain, a scenario where code is immutable, every click costs real money, and a forgotten edge case is not just a Jira ticket, but an irreversible failure. We will set aside the cryptocurrency hype to focus on the brutal technical reality of testing Smart Contracts.
– The Immutability Mindset: How to shift the focus from “fixing bugs” to “preventing disasters” when there is only one launch opportunity
– Testing the “Invisible”: Going beyond UI testing to verify the logic users interact with directly through the “History of the Universe”
– Fundamentals of Economics in QA: Understanding why performance testing becomes a financial audit, where inefficient code costs real money for the user
Over the last five years, Nataliia Pereira worked in fintech across core banking, compliance, customer-facing products, and crypto payment and transfer systems, most recently at Uphold. She built and strengthened QA practices for growing teams and mentored professionals transitioning into tech, having rebuilt her own career in Portugal after moving from Ukraine in 2022.
With a career dedicated to Quality Assurance since 2008, Hugo Manaia has built extensive expertise across industry leaders such as PT Inovação, Critical Software, Mindera, and Creativesystems. Throughout his journey in Telecommunications, Banking, Betting, and Retail, he has developed a versatile profile with a strong focus on API testing and system analysis, before diving into the complex challenges of the crypto ecosystem. Currently a Senior Quality Assurance Analyst at Uphold, he focuses on ensuring the resilience of systems where security and data integrity are critical.
Artificial intelligence is increasingly present in the world of software testing automating tasks, generating tests, and accelerating processes. But how far can it really go? In this talk, we will explore the benefits and risks of using AI in the QA field, discussing why socio-emotional and distinctly human skills remain essential, even in an increasingly automated landscape. A practical and timely reflection on our role in the future of quality.
• How AI is transforming software testing
• Tools and real-world examples of AI-driven automation
• The risks and limitations of relying solely on artificial intelligence
• The importance of socio-emotional skills in QA
• Why empathy, creativity, and critical thinking remain irreplaceable
• The future of QA professionals: technology with consciousness
• Practical reflections on collaboration between humans and AI
With a background in engineering and 12 years in the testing field, Pedro has worked in technology for 27 years across various sectors including television, finance, e-commerce, betting, and currently in1 insurance. Enthusiastic about the financial world, cooking, and outdoor activities — when he’s unreachable, he’s either cycling or at sea.
Artificial intelligence is increasingly present in the world of software testing automating tasks, generating tests, and accelerating processes. But how far can it really go? In this talk, we will explore the benefits and risks of using AI in the QA field, discussing why socio-emotional and distinctly human skills remain essential, even in an increasingly automated landscape. A practical and timely reflection on our role in the future of quality.
• How AI is transforming software testing
• Tools and real-world examples of AI-driven automation
• The risks and limitations of relying solely on artificial intelligence
• The importance of socio-emotional skills in QA
• Why empathy, creativity, and critical thinking remain irreplaceable
• The future of QA professionals: technology with consciousness
• Practical reflections on collaboration between humans and AI
With around 10 years of experience as a Nurse (with specialization in Maternal Health), Magda transitioned to IT in 2023 — first as an implementation consultant and currently as a QA. She is the founder and former president of a Toastmasters club, participates in Batucada Radical, works as a promoter/hostess at events, and has a special interest in travel, new cultures, and financial literacy.
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