Code Conversations

We're all using AI agents, but they still lack the procedural knowledge real work needs. Martin Keen explains how agent skills, LLMs, RAG, and MCP help agents follow workflows, automate tasks, and make smarter decisions. Learn how to build better AI agents.

How do AI agents learn and take action? Live from TechXchange in Orlando, Melissa Hadley breaks down how MCP and RAG help large language models connect to data — one to retrieve knowledge, the other to execute tasks. Explore how these frameworks combine to power smarter, connected AI systems.

How do AI chatbots deliver better responses? Martin Keen explains RAG 🛠️, fine-tuning , and prompt engineering methods that extend knowledge, refine responses, and build domain expertise. Learn how these strategies optimize large language models and improve AI outputs today! Ref: https://www.youtube.com/watch?v=zYGDpG-pTho

Are your AI agents struggling to collaborate? 🤔 Martin Keen and Anna Gutowska reveal how advanced frameworks enable seamless agent communication and integration with tools. Discover how A2A connects agents and MCP links them to resources for smarter, streamlined workflows. 🚀

Both CLI and MCP are ways for AI agents to interact with the world. Martin Keen explains how agents use CLI commands or MCP tools for tasks across real developer workflows. Learn how context windows, schemas, and practical examples shape smarter AI development. 🚀 Ref: https://www.youtube.com/watch?v=g9JIUM0MHgQ

Are massive context windows replacing RAG? 🤔 Martin Keen breaks down RAG vs. long context in LLM workflows. Explore how vector databases, semantic search, and embedding models impact AI performance to help you choose the right solution for your applications. 🚀

AI agents are having a moment, and understanding MCP and ADK is key to building them well. Cedric Clyburn and Anna Gutowska explain how MCP powers tool integration while ADK structures reliable multi‑agent systems 🤖. Learn when to use each to build more capable and predictable AI agents.

Ready to become a certified GenAI engineer? Register now and use code IBMTechYT20 for 20% off of your exam → https://ibm.biz/BdGhCF Learn about the technology → https://ibm.biz/BdMsRT Large language models usually give great answers, but because they're limited to the training data used to create the model. Over time they can become incomplete--or worse, generate answers that are just plain wr...

MCP or API: Which transforms AI integration? Martin Keen explains how the Model Context Protocol (MCP) revolutionizes AI agents by enabling dynamic discovery, tool execution, and seamless external data retrieval. Discover how MCP simplifies LLM workflows and outpaces traditional APIs. Ref: https://www.youtube.com/watch?v=7j1t3UZA1TY

Tim Berglund is back at the lightboard with MCP (Model Context Protocol). MCP really is a big deal, but most people are missing the point. It's not just about enhancing desktop applications with agentic functionality—it's about exposing reusable tools and resources (including real-time data from sources like Apache Kafka) to build agentic microservices. Doing this takes us beyond basic LLM...

With the rise of AI and automation, how do we as humans find our value in the workplace? How do we work with these new technologies? How do we build resilience to changes? What skills are needed for us to thrive in this new world? People have often felt apprehensive about change, especially big changes to the way we work. It happened in the industrial revolution and now it's happening with the...

Learn how AI can change the game in an important scenario. The age-old battle between Product Owners and Developers rages on: POs push for speed, while devs demand clarity. When specs are too vague, developers waste time making assumptions. When specs are too detailed, POs get bogged down in documentation. The result? Context switching, frustration, and a backlog filled with half-baked work items....

Copilots are everywhere these days, and… rightfully so! Let's face it: these tools are incredible at getting things done. They have the potential to turn any one of us into a 20x developer. Need a new feature? Bam, there you have it! Refactor that function? Sure, it'll be done before you grind the coffee for your next cup. These tools do a very good job of generating well-designed, tested,...

Explore how AI and continual learning can revolutionize MRI diagnostics, using our real-world case study in detecting Focal Cortical Dysplasias (FCD)—a crucial factor in epilepsy treatment. In this session, we’ll dive into how continual learning techniques, inspired by human adaptability, help AI models improve diagnostic accuracy, minimize false positives, and handle evolving data in medical sett...

Ready to give your old code a makeover? Step into the world of AI-powered code refactoring, where smart algorithms take on the challenge of sprucing up cluttered codebases. See how AI deciphers code DNA, performs digital reconstructive surgery, and scales from small scripts to sprawling systems. Explore real-world success stories, understand the current limits, and discover tools that'll make...

So we all know AI is changing the software industry right now. Whether you build backend systems, web or native UIs, or embedded devices, you keep hearing it: the next generation of users will simply expect your software to carry out their tasks intelligently. Let's start with how we got here. I'll demo AI systems from the 1960s primordial soup up to the emergence of large language models...

It's 2025 and we're all adding AI features to our apps. But the tech moves so fast - what solid ground can you actually build on? This talk will focus on one of the best established patterns: building chat UIs that accept natural-language instructions. This includes:Getting started with Microsoft. Extensions. AI and Aspire (without needing any paid service) Ingesting, indexing, citing, and...

Large language models (LLMs) exploded into mainstream awareness in 2022, and have continued to fascinate us since. But what is it about LLMs, compared to other, similarly complex algorithms, that have so captured our imagination? And why is it that we are so ready to believe that these models have started to show signs of human behavior? Ref: https://www.youtube.com/watch?v=RSS1a8ngGRU&list=TL...

Generative AI has leapt from clever chatbots to self-directed digital coworkers, but most organisations still treat it as a plug-in for their existing processes. This session maps the journey from rule-based bots to AI-enabled workflows, then shows why 2025 belongs to true agents: systems that perceive, plan, and act with minimal hand-holding. Ref: https://www.youtube.com/watch?v=zaQOlw0-jQ4

Generative AI, exemplified by tools like ChatGPT, marks a significant shift in computing, enabling machines to perform creative and intellectual tasks once exclusive to humans. This talk will explore the evolution of generative AI, its applications across various fields, and its potential to revolutionize industries. This session will examine the roles AI can assume, from doctor, to creator to sec...

The whole world is excited about generative AI, but how do we start to build with it? Do we need to learn linear algebra, machine learning, or even python? It turns out that our existing knowledge and skills are still very much in demand. There are some terms and tools you need to understand, but it's not as big a jump as you think. This talk is a roadmap for understanding GenAI as a developer...

Every enterprise is under pressure to implement AI - from board mandates to competitive necessity. Yet the path from aspiration to successful implementation is filled with misconceptions, unrealistic expectations, and poorly chosen use cases that waste time and resources before we even tackle technical implementation decisions in this rapidly evolving field..I've spent the past few years imple...

2025 was the year AI stopped feeling chaotic and started feeling buildable. In this Lightcone episode, the YC partners break down the surprises of the year, from shifting model dominance to why the real opportunity is moving back to the application layer, and why the next wave of AI startups may be just getting started.

What will define AI in 2026? 🚀 Martin Keen & Aaron Baughman explore groundbreaking trends like Agentic AI, cloud computing, automation, and quantum computing, plus innovations like Physical AI. Discover how these technologies will transform industries and drive the next wave of intelligence.

Large language models (LLMs) exploded into mainstream awareness in 2022, and have continued to fascinate us since. But what is it about LLMs, compared to other, similarly complex algorithms, that have so captured our imagination? And why is it that we are so ready to believe that these models have started to show signs of human behavior? In this talk, we’ll delve into some of the more extraordinar...