Mark Miller delivers practical insights on building effective AI agents with C#, showing developers how a single-question, single-answer model can improve user experience and productivity.

Designing Seamless AI Agents with C#: One Question, One Answer Approach

Speaker: Mark Miller (Chief Architect, DevExpress; creator of CodeRush & AiGen)

Overview

Most current AI assistants operate in chat mode—users ask, refine, iterate. This session presents an alternative: the ‘one-question, one-answer’ model for AI agents in C#. The approach aims for seamless user experiences by providing accurate, context-driven solutions on the first attempt.

Key Topics Covered

Why Single-Question/Single-Answer Outperforms Chat:
- Reduces cognitive/UX load on the user
- Encourages AI to understand and solve the problem promptly
- More natural and less disruptive in flow-oriented tasks
Feeding the Right Context to AI:
- Techniques for delivering context instantly to improve result quality
- Patterns for providing structured and relevant inputs to AI backends
UX and Design Principles for AI-Powered Apps:
- How to create intuitive, helpful experiences for coding assistants, enterprise tools, and productivity apps
- Making AI assistants feel like trustworthy partners
Proven Development Patterns for AI Experiences:
- Real-world lessons from AI agent implementations in .NET
- Strategies to integrate single-response AI into C# apps

Who Should Watch

.NET developers interested in embedding AI
Teams building code assistants or productivity enhancements
Anyone aiming to improve AI-driven user experiences

Takeaways

Developers and architects will gain:

Practical strategies for integrating AI into C# applications
UX techniques for making AI interactions more seamless and effective
Patterns for building trustworthy AI that ‘just gets it done’

Session includes examples and insights from CodeRush and AiGen development, providing actionable guidance for both new and experienced .NET developers.