Design Patterns for Agentic AI Systems
From Experimental Agents to Enterprise-Ready AI Architectures

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From Experimental Agents to Enterprise-Ready AI Architectures

in C# with Microsoft Agent Framework

If you’ve ever tried to build an AI system that reasons about public companies, you’ve probably run into the same brick wall: the SEC’s EDGAR database. It’s a goldmine of corporate disclosures, yet it feels like it was designed for humans with patien...

If your .NET project relies on AutoMapper and you're starting to feel the pain of implicit mapping, runtime surprises, or costly allocations, it’s time to consider migrating to Moedim.Mapper. Moedim.Mapper gives you explicit, maintainable mappings wi...

In the world of software development, efficient task scheduling is crucial for building scalable and maintainable applications. If you’re working with .NET Core, you might have encountered the complexities of existing scheduling libraries like Quartz...

Why You Should Use Azure AI CLI: Streamlining Your Dev Workflow As a developer, you're always looking for ways to optimize your workflow, reduce costs, and increase productivity. That's where the Azure AI CLI comes in – a powerful tool that enables y...

As you build a generative AI application, you might need to schedule jobs to perform tasks such as data processing, model training, or output generation. In this blog post, we'll explore how to use the CronScheduler.AspNetCore library to schedule job...

In our previous blog post, we explored why RavenDB is the best option for new generative AI projects. As we discussed, RavenDB provides a robust database solution that can handle complex data structures and vast amounts of information required for th...

The world of artificial intelligence has been abuzz with the recent advancements in generative AI, particularly with the emergence of chatbots like ChatGPT. As these technologies continue to evolve and push the boundaries of what's possible, it's ess...
