Posts by Matthew-Hope Eland
Practical techniques for giving AI agents the context they need: AGENTS.md files, documentation strategies, and plan mode workflows.
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Essential resources for mastering agentic AI development — core concepts and guides for GitHub Copilot, Claude Code, Cursor, and OpenAI Codex.
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What if your AI agents could learn from their mistakes and get better over time? Check out a sample architecture that does just that.
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Discover 16 practical tips for writing AI-ready C# code, making your .NET codebase easier for AI agents and tools to understand, maintain, and extend.
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Every year .NET and C# level up. See what some of our favorite C#, ASP.NET, and EF Core improvements are in this year's LTS release.
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Learn how to build interactive AI evaluation reports in .NET to communicate model quality, boost transparency, and engage your team.
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Discover how GitHub Copilot Agents can function as AI developers on your team, automating development while complementing human developers' strategic skills.
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Web chat portals can profoundly empower your team to build amazing things. Let's see how these systems can work securely and offer unique value to your team.
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AI systems are powerful, but hard to constrain, measure, and control. Let's see how Microsoft.Extensions.AI.Evaluation helps with AI systems development.
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Kernel Memory gives us a simple and flexible way of indexing and searching documents and websites using our own models and vector storage solutions using .NET.
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Model Context Protocol (MCP) and Agent2Agent (A2A) are rising stars in the world of AI. Let's see what they are and how they can work together.
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This article defines an architecture for helping developers with software engineering tasks in a secure manner that utilizes organizational knowledge and data.
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This article defines a simple retrieval augmentation generation (RAG) chat agent architecture suitable for helping customers discover more about your organization and its offerings.
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AI prototyping projects can be effective ways of exploring new concepts, but concluding them effectively is important too.
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In this article we'll move along in that process and discuss launching AI prototyping projects in a way that sets them up for success.
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Let's talk about how to properly envision and scope your organization's AI prototyping projects
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It turns out that AI orchestration is remarkably well equipped to handle building a virtual game master. Let's see how it works.
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Recently I got a master's in data analytics as I pursue machine learning and artificial intelligence. Let's talk about why and if it's worth it.
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It turns out giving talks and writing abstracts for them are two different skills. Let's talk about getting better.
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