Rider 2026.2 Release Candidate Is Out!

.NET Tools
Essential productivity kit for .NET and game developers
Rider 2026.2 Release Candidate Is Out!
The Rider 2026.2 Release Candidate is ready for you to try.
This upcoming release opens the IDE’s own intelligence to your AI coding agents, brings GitHub Copilot in natively, and delivers a wave of performance gains across both .NET and game development. Rider 2026.2 makes debugger launch and branch switching noticeably faster, speeds up Unreal Engine indexing, and expands game development support with new project templates and professional Godot tooling.
If you’d like to explore what’s coming, you can download the RC build right now:
Highlights of this release
- Agent skills that connect AI agents to Rider’s own intelligence – coverage data, profiler, and code analysis – for more accurate results and better code quality.
- Support for official Microsoft .NET, Aspire, and Azure Agent Skills directly from the IDE.
- GitHub Copilot now natively built in and available out of the box.
- Faster .NET workflows: ~2.8s quicker debugger launch on Windows, 2–3× faster branch switching in Roslyn solutions, and 7–8% lower backend memory use.
- Faster Unreal Engine projects: ~2× faster C++ indexing when opening the generated
.sln
. - WPF Hot Reload for editing XAML while the app runs.
- Redesigned NuGet tool window
- File-based C# app templates.
- Intention previews to see quick-fix and context-action changes before applying them.
- New Game Development category in the New Project dialog, with ready-made Godot and CMake templates plus preconfigured build settings and run configurations.
- Better UE navigation: UInterface implementation tracking and Gameplay Tag usages surfaced in Blueprints via Code Vision and Find Usages.
- Professional Godot support: configurable GDScript formatter, drag scene nodes into code, Autoload/UID resolution, and the official Rider integration addon on the Godot Asset Store.
- Natvis support on Linux and macOS, including
godot-cpp.natvis
, plus ISPC language support. - TypeScript 7 support for faster large-codebase workflows.
- Built-in Azure Functions support and Azure DevOps pull requests.
Try it out and share your feedback
You can download and install Rider 2026.2 RC today:
We’d love to hear what you think. If you run into issues or have suggestions, please report them via YouTrack or reach out to us on X.

Facts Only

* Rider 2026.2 Release Candidate is available.
* The release opens IDE intelligence to AI coding agents via coverage data, profiler, and code analysis.
* GitHub Copilot is natively built into the IDE.
* Debugger launch is approximately 2.8 seconds on Windows.
* Branch switching in Roslyn solutions is 2–3× faster.
* Backend memory use is reduced by 7–8%.
* Unreal Engine C++ indexing is approximately 2× faster when opening generated files.
* Support for official Microsoft .NET, Aspire, and Azure Agent Skills is integrated.
* New project templates are available for game development, including Godot and CMake tooling.
* Professional Godot support includes a GDScript formatter, drag scene nodes into code, and integration with the Godot Asset Store addon.
* TypeScript 7 support is included for faster large-codebase workflows on Linux and macOS.

Executive Summary

The Rider 2026.2 Release Candidate is available for testing, introducing new features and performance enhancements for .NET and game development workflows. The release incorporates intelligence integration for AI coding agents, native GitHub Copilot integration, and significant speed improvements across various tasks. Performance gains include faster debugger launch and branch switching in Roslyn solutions, accelerated Unreal Engine indexing, and reduced memory usage. New capabilities extend to project tooling, offering file-based C# templates, enhanced Godot support with new features like formatters and scene node interaction, and improved navigation within Unreal Engine using Code Vision. Furthermore, the release includes support for Azure Agent Skills and integration with TypeScript 7 on Linux/macOS environments.

Full Take

The narrative centers on accelerating development velocity through deep IDE integration of AI and specialized tooling for complex domains like game development. The pattern observed is the commodification of developer experience by embedding intelligence directly into the toolchain, shifting productivity gains from discrete feature additions to fundamental workflow optimization (e.g., faster indexing, reduced memory). This suggests a systemic focus on reducing cognitive load associated with context switching and repetitive tasks in high-level programming environments. The inclusion of agent skills and native Copilot integration signals a move towards autonomous assistance within the IDE, which carries implications for the delineation of human versus machine agency in software creation. The framework explicitly targets specialized ecosystems (Unreal, Godot) by providing deeply integrated, professional tooling, indicating a strategy to establish platform lock-in through domain-specific feature sets. The core implication is that future competitive advantage will reside less in algorithmic innovation and more in the seamlessness of the environment where human creativity operates.

Sentinel — Human

Confidence

This text reads like a direct press release or feature announcement from a software vendor, characterized by highly specific technical details rather than generalized journalistic synthesis.

Signals Detected

Sentence length variance is moderate; the text flows clearly but maintains specific, punchy technical phrasing typical of product announcements.

High coherence focused entirely on a single product announcement; lacks the hedging or broad contextual weaving typical of general news analysis.

Direct presentation of features and metrics strongly suggests an internal developer/marketing communication rather than synthesized aggregation.

Specific, detailed performance metrics (e.g., ~2.8s quicker debugger launch, 2× faster C++ indexing) are presented as direct facts without external citation, indicating internal data reporting.

Human Indicators

The use of highly specific, proprietary-sounding features (Agent skills, Code Vision, Gameplay Tag usages) combined with a direct call to action for download and feedback strongly suggests an official developer or product announcement.

The tone is promotional yet technical, consistent with marketing materials from software development companies.