Code Conversations

As AI agents become more capable, the skills needed for AI jobs are shifting. Bri Kopecki breaks down the 7 skills you need to move from prompt engineering to full agent engineering, including system design, retrieval, reliability, and security. Learn how to build AI agents that actually work in production.

Ref: https://www.youtube.com/watch?v=mtiOK2QG9Q0&t=10s

LangChain became immensely popular when it was launched in 2022, but how can it impact your development and application of AI models, Large Language Models (LLM) in particular. In this video Martin Keen shares an overview of the features and uses of LangChain.

Get ready for a showdown between LangChain and LangGraph, two powerful frameworks for building applications with large language models (LLMs.) Master Inventor Martin Keen compares the two, taking a look at their unique features, use cases, and how they can help you create innovative, context-aware solutions.

Agentic AI and RAG are redefining how LLMs think and act 🤖. Live from TechXchange in Orlando, Martin Keen & Cedric Clyburn unpack how vector databases, data integration, and context engineering enable smarter AI systems. See how this pairing powers innovation in automation.

How did search evolve into agentic AI? Sam Anthony explains RAG's evolution, from simple retrieval to adaptive systems powered by LLMs. Learn how semantic search, hybrid retrieval, and AI agents enable multi-step research, decision-making, and synthesis.

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