This talk explores how developers can learn smarter, not harder, by applying insights from neuroscience to coding practice. You’ll discover why learning is more than storing information. We’ll dive into the difference between rate of learning and rate of retrieval, and why being a fast learner doesn’t always make you a fast retriever. You’ll learn practical strategies to make new concepts stick.

We’ll also cover how to structure your coding sessions using the primary–recency effect. Along the way, you’ll get actionable tips for boosting focus and leveraging downtime.

Whether you’re learning a new Java framework or mastering advanced concepts, you’ll walk away with science-backed tips to learn smarter, code better, and stay ahead.

In today's world, artificial intelligence (AI) is transforming the way we work and learn. This talk explores how we can use AI tools to enhance our learning experiences, by looking at some (recent) research that has been done on the matter.

But as we embrace these new technologies, we must also ask ourselves: Are we becoming less capable of thinking for ourselves? Do these tools make us smarter, or do they risk dulling our critical thinking skills? This talk will encourage us to think critically about the role of AI in our education. Together, we will discover how to use AI to support our learning journey while still developing our ability to think critically.