dotnet presents the future of AI for .NET developers, focusing on agentic AI: systems that reason, plan, and act to accomplish complex tasks through advanced frameworks and design patterns.

Understanding Agentic Development for .NET Developers

Agentic development is a new direction in AI, emphasizing systems that can autonomously reason, plan, and execute actions to accomplish complex objectives. This session introduces .NET developers to the concepts and patterns behind agentic AI, moving beyond basic prompt/response models to intelligent agents capable of collaborating, making decisions, and taking meaningful actions on users’ behalf.

Key Topics Covered

  • Agentic AI Principles: How agent architectures support reasoning, planning, and action.
  • Building AI Agents in .NET:
    • Leveraging frameworks and patterns tailored to the .NET ecosystem.
    • Practical approaches to function execution and tool calling.
    • Designing agents that decompose large tasks, make decisions, and collaborate.
  • .NET Tools and Updates:
  • Collaboration & Community

Why Agentic AI Matters

Agentic systems enable applications to:

  • Break down complex workflows into actionable plans
  • Execute multi-step reasoning and function calls
  • Coordinate with other agents for collaborative outcomes
  • Provide users with intelligent, proactive solutions

Takeaways for Developers

  • Understand agentic AI design and how it integrates into modern .NET apps
  • Learn which frameworks and tools accelerate agentic AI development
  • Get practical pointers to official docs and community resources for further learning

For further learning and updates, check out the official .NET docs and join the broader .NET developer community online.