Designing Seamless AI Agents with C#: One Question, One Answer Model
dotnet presents insights from Mark Miller on creating seamless AI agents in C# that move beyond chat-based assistants. This session teaches practical strategies for designing responsive, context-aware AI tools and integrating them into .NET applications.
Designing Seamless AI Agents with C#: One Question, One Answer Model
Presented by Mark Miller (DevExpress, creator of CodeRush & AiGen) at .NET Conf 2025
AI assistants often require chat-like iterative processes, which can disrupt user flow and place a burden on the end-user. In this session, Mark Miller introduces a “single-question, single-response” approach for C# developers aiming to create AI agents with seamless, immediate impact.
Key Takeaways
The One-Question, One-Answer + Delta Model:
- AI agents respond with the right solution the first time, minimizing iterative chat and reducing user interaction overhead.
- Outperforms traditional chat-based designs by accelerating workflows and boosting accuracy.
Context Injection for Better Results:
- Feeding AI agents the right context instantly ensures more reliable, relevant outputs in less time.
- Techniques for context engineering in C# and .NET applications.
UX and Design Principles:
- Design strategies that make AI-powered apps more helpful and enjoyable.
- Extending concepts from coding assistants to productivity and enterprise environments.
Proven AI Patterns in Practice:
- Real-world architecture for embedding AI features directly into .NET apps.
- Patterns for trust, reliability, and seamless user experience.
Who Should Watch?
- Developers interested in the next wave of pair programming with AI.
- Engineers embedding AI features into .NET/C# projects.
- Product teams aiming to provide intuitive, efficient AI experiences.
Resources
About the Speaker
Mark Miller is Chief Architect at DevExpress and creator of CodeRush & AiGen. He shares practical insights from building deployable AI agent solutions for the .NET ecosystem.