Join Our AI Testing Meetup In Brazil
and discover how QA is evolving with AI.
In this session, you’ll learn how modern QA engineers use AI tools and agents to speed up testing, improve coverage, and work more efficiently.
We’ll cover:
Whether you’re just starting in QA or already have experience, this meetup will give you practical insights and a clear direction on how to grow in the field.
Save your spot and see how AI is shaping the future of QA 🚀
In this session, you’ll learn how modern QA engineers use AI tools and agents to speed up testing, improve coverage, and work more efficiently.
We’ll cover:
- How AI is changing QA workflows
- Real examples of AI in testing
- How to start using AI tools in your daily work
- How to test AI systems (non deterministic)
- What skills are becoming important in 2026
Whether you’re just starting in QA or already have experience, this meetup will give you practical insights and a clear direction on how to grow in the field.
Save your spot and see how AI is shaping the future of QA 🚀
Organized by Codemify
Codemify is a QA & Automation Bootcamp that helps people enter tech and grow from fundamentals to real-world testing and automation.
Codemify is a QA & Automation Bootcamp that helps people enter tech and grow from fundamentals to real-world testing and automation.
Who Is It For?
For those who want to become Tech Professional from scratch
Anyone who wants to upgrade their Automation and AI testing skills
Hosts
Founder of Codemify QA Bootcamp
Senior QA Automation, SDET
Senior QA Automation, SDET
AI-first SDET
Sergii Khromchenko
Agenda
- How to become a QA Engineer from scratch in 2026
- Real career path and what actually works today
- Transitioning into tech without prior experience
- How our students (real stories) made it into QA
- Introduction to modern QA tools and workflows
- Playwright and AI Agents - how QA is evolving right now
How to use AI in testing
- AI-augmented QA workflows
- Using AI Agents to write, fix, and optimize tests
- Generating test cases with AI
- Working with non-deterministic outputs
- Evaluating LLM behavior (prompts, hallucinations, bias, accuracy)
- Red teaming AI systems to find vulnerabilities
Contact us:
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