Discover how Microsoft’s two key frameworks, Semantic Kernel and AutoGen, provide a powerful stack for creating sophisticated multi-agent AI systems. This article explores how to build specialized agents with Semantic Kernel and orchestrate their collaboration with AutoGen, while also comparing this approach to leading alternatives like CrewAI and LangGraph.

I recently finished reading “Unlocking Data with Generative AI and RAG” by Keith Bourne, and it provides a comprehensive overview of building systems that can leverage large language models (LLMs) with your own private or new data. This post summarizes my key takeaways from the book.

The core idea is that the key technical components of a Retrieval-Augmented Generation (RAG) system include the embedding model that creates your embeddings, the vector store, the vector search mechanism, and the LLM itself.

Enhancing Codehub application with agentic capabilities can transform it from a static reporting tool into an intelligent engineering insights platform that proactively helps teams improve their performance and productivity.

See also Agentic Features for Codehub: Engineering Metrics Intelligence (part 1 of 2)

Integrating agentic features into Codehub app is an excellent way to enhance its value proposition, moving it from a data visualization tool to an intelligent assistant for engineers and managers. In this article I’m brainstorming (with AI) several agentic features, categorized by the problems they solve and the personas they target.

Agentic applications represent a significant leap in AI, moving beyond simple chatbots to systems that can autonomously reason, plan, and execute multi-step tasks to achieve a defined goal. They are designed to operate with minimal human intervention, continuously learning and adapting over time.

I recently embarked on an interesting experiment with GitHub Copilot Agent that has given me some valuable insights into the evolving landscape of software development. I thought it would be worth sharing my experience and observations.