Learn to leverage Semantic Kernel for building AI-driven applications using Large Language Models, enhancing functionality without extensive coding.

AI, agents, Semantic Kernel, GPT, development

Contribute to the development of the dotnet-ai-workshop on GitHub by creating an account.

GitHub, AI, .NET, workshop

Learn to build AI apps in .NET with Microsoft.Extensions.AI and Ollama, focusing on LLMs, integration, and best practices for local AI development.

AI, .NET, Microsoft.Extensions.AI, LLMs, Ollama, software development

Explore OpenTelemetry integration challenges and strategies for existing systems, focusing on building blocks, benefits, and real-world experiences in deploying solutions.

OpenTelemetry, integration, brownfield, observability, software engineering

Learn to build AI agents using large language models and open source tools in a hands-on session at NDC Oslo 2025.

AI, agents, development, NDC

Explore communication patterns like Outbox and Sagas to enhance resilience and maintainability in modern distributed systems.

messaging, patterns, software, architecture, distributed systems

Learn how Verify simplifies snapshot testing for .NET, improving assertion maintenance and catching breaking changes effectively.

snapshot testing, .NET, Verify, assertions, NDC Oslo

Learn to integrate .NET Aspire into existing Clean Architecture apps, replacing Docker Compose with zero manual config for observability and orchestration.

.NET Aspire, Clean Architecture, Docker Compose, observability, service orchestration

AI should complement, not replace, your initial creative process. Prioritize human insight first.

AI, creativity, software engineering, human insight

Design AI tools for reliability by focusing on purpose-built agents, clear rules, and predictable behavior for specific tasks.

AI, agents, chatbots, reliability, purpose-built