JetBrains Releases March 2026 .NET Tools Update for Rider, ReSharper, and dotMemory
JetBrains publishes its March 2026 dotInsights update with new features for Rider, ReSharper, and the broader .NET tools suite — including improved C# 13 support, enhanced AI-assisted code analysis, and performance profiling improvements in dotMemory.
JetBrains has published its March 2026 dotInsights update, covering new features and improvements across its .NET development tools — including Rider, ReSharper, dotMemory, and dotTrace. The updates continue the 2025.3 release cycle with enhanced C# 13 support and AI-assisted development capabilities.
Rider Updates
Rider receives improved support for C# 13 features, including refined code analysis for the new params collections and extension types. The AI-assisted code completion has been updated with better context awareness for .NET-specific patterns, including ASP.NET Core middleware pipelines, Entity Framework query optimization suggestions, and Blazor component lifecycle patterns. Performance improvements reduce indexing time for large .NET solutions by approximately 20%.
ReSharper Improvements
ReSharper's code analysis engine now includes detection of common .NET 9 migration issues, helping developers identify code patterns that need updating when targeting the latest .NET runtime. New quick-fixes automate common migration tasks, including updating deprecated API calls and replacing legacy configuration patterns with the modern options pattern. The update also improves ReSharper's support for source generators, reducing false-positive warnings in projects that heavily use compile-time code generation.
Profiling Tools
dotMemory and dotTrace receive performance profiling improvements focused on AI and machine learning workloads running on .NET. New analysis views help developers identify memory allocation patterns in ML.NET pipelines and ONNX Runtime integrations, while dotTrace adds timeline visualization for async/await patterns that makes it easier to identify concurrency bottlenecks in modern .NET applications. These updates reflect the growing use of .NET for AI inference workloads, where performance profiling is critical for meeting latency requirements.
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