Jesse Liberty is a veteran software developer, author, and educator focused on .NET, C#, Azure, and AI. He writes hands-on tutorials and project-driven articles exploring modern Microsoft technologies, Blazor, Azure Functions, and practical AI development.
31 articles from this blog
Explore Microsoft Agent Framework and Foundry: key features, integration, and real-world applications for building AI agents in .NET.
Explore config.json vs secrets management in Microsoft Agent Framework, covering security trade-offs and best practices for storing sensitive data.
Jesse Liberty tests an AI detection tool by feeding it AI-generated blog content, sharing the results.
Explains the differences between ChatClient Middleware and Agent Middleware in the Microsoft Agent Framework, with examples and use cases.
Explore how Microsoft Agent Framework implements long-term memory using dual architecture, ContextProviders, and databases like Neo4j and Azure Cosmos DB for personalized AI interactions.
Comparison of LangChain, LangGraph, and Microsoft Agent Framework for building AI applications, focusing on ecosystem fit, architecture, and use cases.
Learn how to integrate OpenTelemetry with Microsoft Agent Framework apps for enhanced observability, including key trends, challenges, and code examples.
Series on creating multi-agent systems with Python, LangChain, and migrating to C# and Microsoft Agentic Framework.
Learn how to limit token usage in Microsoft Agent Framework using ChatClientAgentRunOptions to control API costs.
Explains middleware in Microsoft Agent Framework for capping token usage, covering cost control, security, performance, and custom logic.
Explores Microsoft Agent Framework's integration with OpenTelemetry for monitoring and debugging AI agents.
Explores logging and OpenTelemetry integration in multi-agent Microsoft Agent Framework applications, covering debugging, performance metrics, and audit trails.
Explains differences between Microsoft's Copilot, Copilot Studio, GitHub Copilot, and GitHub Copilot App for developers.
Overview of Microsoft's best practices for ensuring AI agent safety, including data security and prompt injection prevention.
Walkthrough of MAF-Doctor, a utility for the Microsoft Agent Framework, presented by Jesse Liberty.
Explains the importance of transparency in AI agent systems, including logging, audit trails, and human oversight for debugging.
Migrating a C# application to the Microsoft Agent Framework (MAF) for agentic AI and multi-agent workflows.
How to add Dependency Injection to a C# agent framework application, improving flexibility and testability.
Final part of migrating agentic code from Python to C# using Microsoft Agent Framework, implementing workflow executors.
Jesse Liberty discusses AI in an interview on .NET Live, sharing his extensive tech experience.
