Artificial Intelligence

Presenters Alessandro Colla Alberto Acerbis Xin Yao Source GOTO podcast Taming the Beast: Refactoring Legacy Systems with Domain-Driven Design 🚀 Ever feel like you’re wrestling with a legacy system, trying to untangle spaghetti code while the business screams for new features? You’re not alone! Many of us have been there, staring at monolithic codebases and wondering how to evolve them without breaking everything. That’s exactly the challenge Alessandro Colla and Alberto Acerbis tackle in their insightful book, “Domain Driven Refactoring: A Hands-On DDD Guide to Transforming Monoliths to Modular Systems and Microservices.” ...

Presenters Bryan McCann Jonathan Catrell Source Developer Tea podcast Unraveling Meaning in the Age of AI: A Deep Dive with Brian McCann 🧠✨ Ever found yourself staring at a complex piece of code, a philosophical conundrum, or even just the vastness of the universe, and wondered, “What does it all mean?” You’re not alone! In a recent episode of Developer Tea, we had the privilege of diving deep into this very question with Brian McCann, CTO of you.com. With a fascinating background in philosophy and early AI research, Brian frames his current work as a continuation of his lifelong quest to understand meaning itself. Get ready, because this conversation is a mind-bender in the best way possible! 🚀 ...

Presenters Magdalena Picariello Source InfoQ podcast Beyond the Buzz: Building Real-World AI That Delivers Value 🚀 The AI revolution is here, and it’s not just about theoretical breakthroughs anymore. We’re moving into an era where practical, scalable, and valuable AI implementations are the name of the game. But how do we get there? This isn’t about simply plugging in the latest model; it’s about a fundamental shift in how we approach software development when AI is involved. ...

Presenters Iuna Tsyrulneva Gaël Source Green IO podcast Powering Down AI’s Energy Footprint: Charting a Greener Digital Future 🌍💡 Artificial Intelligence, especially the powerhouses of generative AI and Large Language Models (LLMs), are undeniably transforming our world. But as their capabilities explode, so does their energy appetite. This isn’t just a theoretical concern; AI workloads in data centers are already contributing an estimated 180 million tons of indirect CO2 annually, a figure that represents about 0.5% of global fuel consumption CO2 emissions. The upward trend is clear, and the need for a more responsible digital future is urgent. ...

Presenters Evan Czaplicki Kris Jenkins Source GOTO podcast Level Up Your Language Design: Lessons from Rails, Rust, and the “Wife Principle” 🚀💡👨‍💻 Ever wondered what it takes to build a language or library that developers actually want to use? It’s not just about clever algorithms and cool syntax; it’s a complex dance between ease of use, long-term maintainability, and even the realities of human nature. This conference presentation segment, delivered by Evan Chublitzky, dives deep into these challenges, offering invaluable insights for anyone involved in language design or open-source development. ...