
How to use MCP and AI to speed up testing in your digital product? | APBC Tech #32
Testing digital products can be slow, complicated, and hard to scale — but AI and MCP (Model Context Protocol) are changing the game. In this session, we cut through the noise and show how these technologies make testing faster, smarter, and more efficient. ⚡🛠️
👥 Milena Cylińska and Piotr Majchrzak, co-CEO of Boldare, share real-world examples of how MCP and AI dramatically reduce testing times, giving teams the speed and flexibility they need. They’ll also explain how automation smooths the process and makes outcomes more predictable.
What you’ll take away from this 25-minute session:
✅ How MCP and AI can speed up and improve your testing workflow
✅ Real-world cases showing measurable time and efficiency gains
✅ Insights on automation and smarter testing strategies
✅ A peek into the future of AI-powered digital product testing
Resources from Milena:GitHub repository: https://github.com/milena6/ai-qa-work...Blog: https://www.scale-qa.com/blog
About APBC TechThis session is part of the APBC Tech series — where we explore hands-on tech experience in building, scaling, and delivering digital products, including how AI helps teams work smarter and faster.
🌍 Whether you design, develop, or build digital products, join us to see the practical side of AI in testing!
👉 Join the Agile Product Builders Community: https://www.boldare.com/apb-community...