Data Engineering

Presenters David Gomes Source AI Engineer Europe 2026 🚀 From 15,000 Lines of Code to Markdown: The Future of Agentic Programming In the world of software development, we often equate progress with more code, more features, and more complexity. But what if the secret to building better tools isn’t writing more code, but deleting it? At a recent talk, David Gomes shared a radical transformation within Cursor, the AI-powered code editor. By leveraging the power of LLMs and Markdown, the team managed to replace a massive, complex feature with a few simple instructions. ...

Presenters Jaromir Hamala Source InfoQ podcast Unlocking Peak Performance: A Deep Dive into QuestDB, Java, and the Tinker’s Mindset with Jaromir Hamala 🚀💡 Are you navigating the tricky waters of moving AI from a proof-of-concept to reliable production? You are absolutely not alone! Many engineering teams face this exact challenge. Senior engineers and architects at events like QCon AI Boston are already sharing how they’ve made that shift, revealing scaling patterns, lessons learned, and what they’d do differently. But what if the core of your high-performance system is built on a technology many still consider “slow”? ...

Presenters Peter Gostev Source AI Engineer Europe 2026 Beyond the Hype: What Large Language Models Still Struggle With 🤯 We’re constantly bombarded with dazzling charts showing the relentless upward march of AI capabilities. Every new model release feels like a giant leap towards Artificial General Intelligence (AGI), leaving us in a state of awe and perhaps a little anxiety. But are we being too optimistic? Peter Gostev, in a recent talk, dives into the less glamorous side of LLMs, exploring what they don’t do well and why that matters. ...

Presenters Elizabeth Fuentes Leone Source Conf42 Cloud 2026 Unmasking RAG Hallucinations: GraphRAG to the Rescue for Pinpoint Precision! 🎯 Hello, fellow tech enthusiasts! Ever felt like your brilliant AI agent, powered by Retrieval Augmented Generation (RAG), was incredibly smart until you asked it to count something? You’re not alone! Today, we’re diving deep into a common pitfall of RAG systems and discovering a powerful solution that brings verifiable precision to your AI applications: GraphRAG. ...

Presenters Mallikarjuna Muchu Source Conf42 Cloud 2026 Cultivating the Future: How Cloud-Native AI is Revolutionizing Agriculture 🚀🌽 Hey tech enthusiasts and curious minds! Manikonda Muchu here, head of startups, and I’m thrilled to dive into a topic that impacts every single one of us: food production. But we’re not just talking about farms; we’re looking at agriculture through a powerful new lens – the lens of cloud-native AI. Get ready, because we’re transforming a traditional industry into a highly intelligent, autonomous future! ...