Register or log in to access this video
A real-world story of how we integrated AI into our product development workflow, what broke, what worked, and how it’s changing our sprints, our quality, and our team habits.
How do you bring AI into your product development workflow without slowing your team down or making things worse?
At Learnn, an italian EdTech startup with over 200,000 users, we set out to do just that.
In this talk, I’ll walk you through how we introduced AI into our engineering process, not as a shiny tool, but as part of how we build, test, and deliver product. You’ll see what worked, what failed, and how AI is now helping us write code, deliver features, generate tests, improve documentation, and even speed up product discovery.
We’ll look at the impact on sprint velocity, product quality, and team dynamics with honest lessons from the trenches.
Whether you’re leading a small team or scaling a large org, this talk will give you practical ideas (and cautionary tales) on how to adopt AI in a way that’s sustainable, measurable, and team-friendly.
Key takeaways
- A real-world use case of AI’s impact on our product delivery
- A practical framework to start integrating AI into your workflow.
- Key insights into what AI is good at and where it breaks.
- How AI adoption changed our sprint dynamics and team mindset.
- Strategies to introduce AI without losing control or quality.
