MoT Meetup – Summer 2026

Hello hello !

It is 2a.m. and this is the only time I had to update the blog with the latest events !

I know the blog has been quiet since I opened my startup, and I wish I could be posting a lot more. I have been learning from left, right, center, inside and outside. This is the hardest thing I have done in my life, probably harder than moving to another country where I didn’t know anybody.

A few days ago, I had the opportunity to share a panel of Q&A with Simon Stewart at Novibet offices and also to speak at the Ministry of Testing Athens Meetup (MoT Athens 🇬🇷 ) sharing the stage with Simon, Wim, Noemi and also Diego Molina (Uhul another South American here in Europe 🙌 ).

The panel was really good, we arrived pretty much on brazilian time as we were really bad with directions 😂

Thanks gosh people were still motivated to ask questions when we arrived, and thanks Simon for taking the lead and presenting yourself first !

I know that we had around 200-300 guests like the last time I came to talk at MoT Athens and again people there makes completely the difference! Unique energy that I rarely see in other events where things are too corporative or full of egos (Not sorry for being honest 😂 )

My talk was a little different from the traditional testing presentation.

Instead of focusing on testing software, I explored a question that has been on my mind for quite some time:

What if we tested ourselves the same way we test software?

As testers, we question assumptions, look for edge cases, automate repetitive tasks, measure outcomes, and continuously improve. Yet many of us rarely apply the same rigorous mindset to our own lives, habits, careers, and personal growth.

During the session, I shared what I call the QA Mindset for Self-Growth, built around five principles:

Question everything.
Think in edge cases.
Automate the repeatable.
Measure what matters.
Iterate relentlessly.

What started as a framework inspired by software testing has become something I use daily as a founder. Building a company forces you to constantly challenge assumptions, identify risks before they become problems, create systems that scale, and continuously adapt based on feedback.

In many ways, entrepreneurship and quality assurance are surprisingly similar.

Both require you to become comfortable with uncertainty.

Both require you to look what you can control, yourself and take accountability not blaming others.

And both teach you that perfection is not the goal, the journey (continuous improvement) is.

The rest of the meetup was equally inspiring. We heard talks about AI-assisted testing, modern QA practices, security challenges, infrastructure vulnerabilities, and the evolving role of testers in a world increasingly influenced by AI. It was a reminder that our industry continues to move fast, and staying curious is becoming one of the most valuable skills we can develop.

I also loved seeing the community engagement throughout the event. From the interactive quizzes to the networking sessions and conversations between talks, it was clear that MoT Athens has built something special ♥️

In the end the feedback was so positive – but you know me – I like the constructive feedback !

Thanks for Diego for pointing me out the things I can improve for the next and try to reduce my anxiety and my dry mouth and the eternity that looked like when I was finally able to drink water. Of course this wouldn’t be me if I didn’t do something to embarrass myself and I spilled water when I was finally drinking 😂

A huge thank you to the organizers, volunteers, speakers, and everyone who attended. Organizing events like these takes an enormous amount of effort, most of which happens behind the scenes.

Also thanks for Satoshi Nakamoto that was presented there (find him on the quiz picture) – unfortunately he was not the winner, so I couldn’t finally meet him lolz

And personally, thank you for welcoming me and giving me the opportunity to share ideas that sit at the intersection of technology, testing and personal development.

Moments like this remind me that growth rarely happens in isolation !

Hopefully, it won’t take me until 2a.m. again to write the next blog post.

Until then, keep going !

Human-AI Collaboration: Ministry of Testing London Meetup Recap

Last week I attended a face-to-face Ministry of Testing Meetup focused on guess what ? AI vs Testers: Friend or Foe? 🤖🧪 !

One of the key takeaways was the recognition that AI isn’t about replacing testers, but rather about increasing their abilities. While 1 or 2 people were concerned about job security, the consensus was that upskilling is crucial.

That’s why I always recommend people to follow emergent technologies. My first interaction with AI was 7 years ago, when I posted about machine learning in 2018 and also on this AI chatbot project that I joined just after.

Focus, learn, practice and stay calm, you are not going to be replaced by AI, maybe for people who use AI 🤷‍♀️

The future of testing lies in leveraging AI tools effectively, and those who adapt will thrive. The discussion highlighted core skills that will remain essential for long-term careers:

Clear Thinking: AI can analyse code, but human critical thinking and problem-solving are still key.
Passion for Quality: A genuine commitment to quality remains a uniquely human trait.
Adaptability: The tech landscape is constantly shifting. Embracing change and learning new technologies, like AI, is essential.

The meetup also talked about the limitations of current AI models. Bias in data sets, as highlighted by the Global Data Quality Report, remains a significant concern. We discussed how even sophisticated simulations, like a “simulated CEO,” struggle to replicate human personality and decision-making.

Testing AI: Challenges and Approaches

Testing AI itself has unique challenges, primarily due to the sheer volume of data involved. Some organisations are using automation with massive datasets, but careful scoping is essential. The human element remains crucial, especially at key decision points. It’s also important to remember that AI can still be “delusional” – producing unexpected or incorrect results.

Practical Advice and Considerations:

Some practical advices:

Don’t follow blindly: AI is powerful, but it’s not a silver bullet. Understand the value proposition before implementing it.
Be aware of the limitations: AI can slow you down and requires careful planning. Define clear objectives before you start.
Embrace thought leadership: Explore AI’s potential for strategic growth and innovation.
Research and be cautious: Don’t rely on a single model. Test with different datasets and diverse groups to ensure robustness.

Data and Privacy:

A crucial point raised was data privacy. Concerns were expressed about data being stored in the cloud without proper security measures. The importance of encryption and secure data handling was emphasised, with some companies exploring blockchain technology for data storage ❤️

The meetup reinforced my what I have being saying about: the future of testing lies in the synergy between human intelligence and AI tools. By effectively integrating human expertise with the capabilities of AI, we can achieve higher levels of quality and efficiency in software development. It’s about “mix brain and tool” – leveraging the best of both worlds.