10 Tips and Tricks to Master Code Runner .NET

10 Tips and Tricks to Master Code Runner .NETCode Runner .NET is a lightweight, fast tool that lets developers run, test, and experiment with C#, F#, and other .NET languages directly from their editor. Whether you’re using it to prototype snippets, debug small pieces of code, or streamline development workflows, mastering Code Runner .NET will save time and reduce friction. Below are ten practical tips and tricks — with examples and actionable steps — to help you get the most out of the tool.


1. Install and configure for your editor

First, install the Code Runner .NET extension or package for your code editor (VS Code, Visual Studio, JetBrains Rider, or others that support Code Runner .NET). After installation:

  • Ensure the .NET SDK (compatible version) is installed on your machine.
  • Set the default language and runtime path in your editor’s settings if the extension doesn’t auto-detect.
  • Configure the terminal/console options (integrated vs external) depending on whether you need richer terminal features.

Example (VS Code settings snippet):

{   "codeRunner.executorMap": {     "csharp": "dotnet script"   },   "codeRunner.runInTerminal": true } 

2. Use code snippets for faster experimentation

Create editor snippets for common patterns (console input/output, async boilerplate, quick unit-test scaffolds). Snippets reduce repetitive typing and keep experiments focused on logic rather than setup.

Example snippet for a quick C# async template:

using System; using System.Threading.Tasks; class Program {     static async Task Main()     {         // $1     } } 

3. Run single files or inline snippets

Code Runner .NET can execute single .cs or .fs files without requiring a full project. This is perfect for testing algorithms or small functions.

  • Save quick tests as .csx or use dotnet-script to run scripts.
  • Use the “Run Selected Code” feature to execute only the highlighted portion of code — ideal for testing a method without running the entire file.

Tip: When experimenting with console input, simulate inputs with heredoc-style redirection or use test wrappers.


4. Integrate with dotnet-script and global tools

dotnet-script is a powerful complement to Code Runner .NET. Install it as a global tool to run scripts with script-specific features (top-level statements, package references).

Install:

dotnet tool install -g dotnet-script 

Use package directives at the top of scripts:

#r "nuget: Newtonsoft.Json, 13.0.1" using Newtonsoft.Json; 

This allows quick use of NuGet packages without creating a project file.


5. Speed up feedback with hot reload-like workflows

While Code Runner .NET isn’t a full app host, you can mimic a fast feedback loop:

  • Keep code in small, single-purpose files and run them with a single keystroke.
  • Use editor tasks/keybindings to run the current file or selection.
  • For UI-related code (e.g., MAUI/WinForms), use minimal reproducible console tests for logic, then integrate into the app.

Example keybinding (VS Code) to run current file:

{   "key": "ctrl+alt+r",   "command": "code-runner.run" } 

6. Capture and inspect outputs and exceptions

Configure Code Runner .NET to keep the terminal open after execution so you can inspect stack traces and logs. Enable full logging and increase verbosity when diagnosing issues.

  • Use structured logging (Serilog, Microsoft.Extensions.Logging) in scripts for richer output.
  • Redirect output to files for later analysis:
    
    dotnet script MyTest.csx > output.log 2>&1 

7. Write quick tests and assertions inline

For algorithm checks, use lightweight assertions rather than a full test project. This keeps iteration fast.

Example:

using System; static void Assert(bool condition, string message) {     if (!condition) throw new Exception("Assertion failed: " + message); } Assert(MyFunction(3) == 5, "Expected 5 for input 3"); Console.WriteLine("All checks passed"); 

For more structured testing, create a small xUnit or NUnit project and run just that project when needed.


8. Use scripting for automation and tooling

dotnet-script and Code Runner .NET are excellent for writing small automation scripts: code generation, build helpers, CSV processors, or quick API callers.

Example: simple HTTP GET using HttpClient in a script:

using System.Net.Http; using System.Threading.Tasks; var client = new HttpClient(); var body = await client.GetStringAsync("https://api.example.com/data"); Console.WriteLine(body); 

Add caching, retries, or JSON parsing as needed with NuGet package references.


9. Share and reuse snippets with teammates

Store commonly used scripts and templates in a shared repository or snippets folder. Create README.md files describing usage and parameters. This reduces onboarding friction and encourages consistent practices.

  • Use dotnet tool manifest if you want the same global tools across a repo:
    
    dotnet new tool-manifest dotnet tool install dotnet-script --local 

10. Know the limitations and when to switch to a project

Code Runner .NET excels at quick feedback and scripting, but it’s not a full substitute for proper project tooling when you need:

  • Complex project references and multi-targeting
  • Advanced debugging (breakpoints across multiple projects)
  • Full CI/CD integration for builds and packaging

When your code grows, create a proper solution and use dotnet CLI or the IDE’s build system. Use Code Runner .NET for prototyping, experimentation, and small automation tasks.


Tips for troubleshooting (quick checklist)

  • Verify your .NET SDK versions with dotnet --info.
  • Ensure your editor’s Code Runner .NET settings point to the right executables.
  • Use dotnet-script for script-specific features and NuGet directive support.
  • Increase terminal verbosity and capture logs for failures.

Summary Code Runner .NET accelerates iteration by letting you run .NET code quickly and flexibly. Use snippets, dotnet-script integration, lightweight assertions, and editor keybindings to create a hot-reload-like feedback loop. Keep scripts small, share templates with teammates, and shift to full projects when complexity demands it. Mastery comes from combining quick experiments with sensible structure.

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