Atlas helps Blazor developers in 2026 efficiently debug a single failing test by integrating directly with your `dotnet test (bUnit)` workflow. It runs the specific test, analyzes the assertion, and guides you through the call graph using its `lsp` tool to identify the root cause in your Blazor components or C# code, ensuring a precise fix.
How to run a single Blazor test with Atlas?
Atlas allows you to run a single Blazor test in isolation using `dotnet test (bUnit)` through its `bash` tool, significantly reducing feedback loop times in 2026. This focused execution ensures that only the relevant test runs, often completing in under 1 second, providing a clean output for analysis.
When a specific Blazor test fails, the first step is to isolate it. Atlas achieves this by leveraging the `dotnet test` command's filtering capabilities via its `bash` tool. Instead of running the entire test suite, you can instruct Atlas to execute only the problematic `bUnit` test. For example, to run a test named `MyFailingComponentTest` within `MyProject.Tests.Components.MyComponentTests.cs`, you would use `atlas bash "dotnet test --filter 'FullyQualifiedName~MyProject.Tests.Components.MyComponentTests.MyFailingComponentTest'"`. This command targets the specific test method, ensuring that the output is concise and directly relevant to the failure, whether it originates from a `.razor` component's C# code block or a separate C# test file.
How to add temporary logging to Blazor tests with Atlas?
To form and check a hypothesis about a failing Blazor test, Atlas can add temporary logging statements using its `edit` tool, just as a developer would manually. This allows for runtime inspection of variables or component states, providing crucial insights within 1-2 minutes without leaving the terminal.
Debugging often requires inspecting runtime values. Atlas facilitates this by allowing you to insert temporary logging directly into your Blazor production code using the `edit` tool. For instance, if you suspect an incorrect value in a `.razor` component's C# code block, you can use `atlas edit YourProject/Components/Pages/MyComponent.razor` to add a `Console.WriteLine("Debug: " + myVariable);` statement. For JavaScript interop, you might add `console.log('JS Debug:', jsVariable);`. After adding the logging, Atlas can re-run the single failing test via `bash`, allowing you to observe the output and validate or refine your hypothesis. This iterative process of adding logs, running the test, and analyzing output is streamlined within the Atlas terminal interface.
How to fix Blazor code and apply changes with Atlas?
Once the root cause of a failing Blazor test is identified, Atlas can fix the production code using its `edit` or `apply_patch` tools. For changes spanning multiple hunks or files, `apply_patch` ensures a robust and atomic update, preventing issues that might arise from chaining 5 or more individual `edit` commands.
After pinpointing the exact line of Blazor code causing the test failure, Atlas can apply the necessary fix. For small, localized changes within a single `.razor` component or C# file, the `edit` tool is ideal. For more complex fixes that might involve modifications across several methods, properties, or even multiple files, `apply_patch` is used. This tool allows Atlas to generate and apply a unified diff, ensuring that all related changes are committed atomically and consistently. This approach is particularly useful in Blazor projects where a single logical fix might touch a `.razor` file, a C# code-behind, and potentially a shared service, guaranteeing a coherent update to your application's logic.
How does Atlas ensure safe Blazor code changes?
Atlas prioritizes safety and developer control when modifying Blazor code, ensuring every proposed change is permission-gated and transparent. Before any `edit` or `apply_patch` command runs, Atlas drafts a plan and presents a unified diff for approval, giving you 100% control over the final code.
Atlas is designed with a strong emphasis on developer oversight and safety. All tool calls, including `edit` and `apply_patch` for Blazor code, are permission-gated, operating under 'allow', 'ask', or 'deny' rules. Before making any modifications, Atlas's read-only plan agent drafts a detailed strategy. When it transitions to the build agent to execute changes, it computes a unified diff for every file edit. This diff is then surfaced for your explicit approval. This process ensures that you, the Blazor developer, have complete control over what code is written, preventing unintended changes. Furthermore, Atlas snapshots file changes as git patches, allowing for easy diffing and rollback if a change proves problematic.
Step by step
- 01Run the failing Blazor test in isolation: Use `atlas bash "dotnet test --filter 'FullyQualifiedName~YourProject.Tests.Components.MyComponentTests.MyFailingTest'"` to execute only the specific `bUnit` test and get focused output.
- 02Read the test and trace the call graph: Use `atlas read YourProject.Tests/Components/MyComponentTests.cs` to understand the test, then `atlas lsp goToDefinition` and `atlas lsp findReferences` on relevant Blazor components (`.razor`) and C# files to map the execution path.
- 03Form a hypothesis and add temporary logging: Based on the call graph, use `atlas edit YourProject/Components/Pages/MyComponent.razor` to insert `Console.WriteLine` statements in C# code blocks or `console.log` in JS interop, then re-run the test with `atlas bash`.
- 04Fix the Blazor production code: Once the issue is clear, use `atlas edit YourProject/Components/Pages/MyComponent.razor` or `atlas apply_patch` for more extensive changes to correct the underlying Blazor or C# logic.
- 05Verify the fix and clean up: Re-run the single test with `atlas bash`, then the full `dotnet test` suite. Finally, use `atlas edit` to remove any temporary logging added in the previous step.
Frequently asked questions
- Can Atlas debug Blazor components with JavaScript interop?
- Yes, Atlas understands Blazor's C# and JS interop boundary. It can trace calls across `IJSRuntime` and suggest fixes in both the C# and JavaScript parts of your `.razor` components, ensuring comprehensive debugging.
- How does Atlas handle Blazor's different render modes during debugging?
- Atlas reads your Blazor components and `@rendermode` directives. While debugging, it focuses on the code logic, but it can also help move components between `InteractiveServer` or `InteractiveWebAssembly` and fix state serialization issues if that's the root cause of a test failure.
- What Blazor test frameworks does Atlas support?
- Atlas primarily supports `dotnet test` with `bUnit` for Blazor component testing. It leverages the standard `dotnet test` command line interface, making it compatible with any test runner that integrates with it within the .NET ecosystem.
- Can Atlas help me understand cascading parameters in Blazor when debugging?
- Yes, Atlas indexes your code by AST declarations using tree-sitter, allowing it to understand Blazor-specific constructs like cascading parameters. Its `lsp` tool can help you trace how these parameters flow through your component hierarchy and identify potential issues.
- How does Atlas ensure my Blazor code changes are safe?
- Atlas operates with a permission-gated system. Every tool call is checked against allow, ask, or deny rules. Before writing any changes to your Blazor project, Atlas presents a unified diff for your approval, and it can snapshot changes as git patches for easy rollback.
- Does Atlas require my Blazor code to be sent to a cloud service?
- No, Atlas can build its code index with local Ollama embeddings, keeping your Blazor code entirely off third-party servers. This ensures your proprietary Blazor application logic remains private and secure throughout the debugging process.
- Can Atlas fix a failing `dotnet format` issue after a Blazor code change?
- While Atlas's primary job is to fix the failing test, it can also run `dotnet format` through its `bash` tool to ensure your Blazor code adheres to formatting standards. It can even approve the diff for you if configured, maintaining code consistency.
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