.NET Diagnostic Tooling with AI
In this session, Jonathan Peppers demonstrates how AI innovations are transforming .NET diagnostic tooling, offering developers smarter performance analysis, automated debugging, and productivity enhancements.
.NET Diagnostic Tooling with AI
Join Jonathan Peppers as he showcases the latest AI-powered advancements in .NET diagnostic tools. This session explores how artificial intelligence is making it easier for developers to solve complex problems, optimize application performance, and maintain high-quality .NET software.
Topics Covered
- Automated Performance Analysis: Leveraging AI to analyze application performance and propose optimizations with minimal manual intervention.
- Intelligent Error Detection: New tools that use machine learning to uncover root causes of errors, improving troubleshooting speed and accuracy.
- AI-driven Debugging Workflows: Workflows enhanced by AI to help developers identify, reproduce, and resolve bugs faster.
- Developer Productivity: Strategies for integrating AI-driven tools into daily development processes to reduce time spent on diagnostics and improve code quality.
Featured Technologies
- .NET 10 – Intelligent, unified platform: Learn more.
- ASP.NET Core 10 – Modern, secure, full-stack web development: Learn more.
- .NET Aspire 13 – Simplifies orchestration for cloud-native apps: Details.
- .NET MAUI 10 – Build apps for every platform: Overview.
- C# 14 and F# 10 – More expressive, productive languages: C#, F#.
- Visual Studio 2026 – Faster, smarter, AI-integrated development environment: Read about it.
Additional Resources
Stay connected: Twitter, LinkedIn, Q&A, and Microsoft Learn.
For .NET developers aiming to modernize their debugging and diagnostics, this talk demonstrates how AI is reshaping the development process through smarter, automated tools.