{"id":58103,"date":"2025-09-15T10:05:00","date_gmt":"2025-09-15T17:05:00","guid":{"rendered":"https:\/\/devblogs.microsoft.com\/dotnet\/?p=58103"},"modified":"2025-09-15T15:48:59","modified_gmt":"2025-09-15T22:48:59","slug":"application-insights-code-optimizations","status":"publish","type":"post","link":"https:\/\/devblogs.microsoft.com\/dotnet\/application-insights-code-optimizations\/","title":{"rendered":"Application Insights Code Optimizations for .NET Apps"},"content":{"rendered":"

As engineers we know how frustrating it can be to chase and fix performance issues without clear guidance. That\u2019s why we built Application Insights Code Optimizations<\/a> \u2014 to give you actionable insights, reduce the guesswork, and help you focus on what you do best: building great software.<\/p>\n

What does it do?<\/h2>\n

To help you tackle performance issues with confidence, the Application Insights Code Optimizations surfaces meaningful insights without the need for deep-dive profiling sessions. It helps you reduce toil for optimizing performance of your .NET applications by automatically analyzing runtime profiler traces, identifying CPU and memory bottlenecks, and delivering actionable, code-level recommendations through GitHub Copilot. \"screenshot<\/p>\n

How Does It Work?<\/h2>\n

Code Optimizations integrates directly with the Application Insights .NET Profiler. It meticulously analyzes trace data from your running application to identify inefficiencies. These insights are then presented as clear, actionable recommendations within the Azure portal.<\/p>\n

Seamless Integration with Your Workflow<\/h2>\n

You can seamlessly integrate these recommendations into your development process. Track them as work items in Azure DevOps or your preferred tool and leverage the power of GitHub Copilot in Visual Studio or Visual Studio Code to get code-level suggestions grounded in the trace analysis.<\/p>\n

Furthermore, Code Optimizations extends into the GitHub Copilot coding agent, allowing you to explore various performance-tested remediation options and collaborate on the best fix. It’s no surprise that over half of our users are assigning the GitHub Issues generated from these insights directly to the GitHub Copilot coding agent to accelerate their optimization tasks. \"screenshot<\/p>\n

Try it now! Check out our full documentation<\/a><\/p>\n

See It in Action<\/h2>\n

Check out the Azure Friday session with Scott Hanselman<\/a> to see a live demonstration of Code Optimizations and witness how it can transform your performance tuning process.<\/p>\n

What\u2019s New?<\/h2>\n

We are excited to share some new enhancements:<\/p>\n