This page contains Windows bias

About This Page

This page is part of the Azure documentation. It contains code examples and configuration instructions for working with Azure services.

Bias Analysis

Bias Types:
⚠️ windows_first
⚠️ missing_linux_example
⚠️ windows_tools
Summary:
The documentation demonstrates a Windows bias by referencing Windows-specific UI actions (such as 'Right click' to add files), omitting explicit Linux or cross-platform command-line instructions for key steps (like file creation or package installation), and mentioning tools like Azure Data Studio and SQL query editors without clarifying their cross-platform availability or suggesting Linux-native alternatives. There are no PowerShell-specific commands, but the overall workflow assumes a Windows GUI environment and does not provide parity for Linux users.
Recommendations:
  • For every step that references Windows UI actions (e.g., 'Right click'), provide equivalent command-line instructions (e.g., 'Use `touch OpenAI.razor` in the terminal') and clarify that these steps can be performed on Linux and macOS as well.
  • Explicitly mention that tools like Azure Data Studio are cross-platform, and provide installation links or alternatives for Linux users (such as using Azure CLI, VS Code with SQL extensions, or sqlcmd).
  • When referencing connection string setup or secret management, include CLI-based examples (using Azure CLI or environment variables) that work on Linux.
  • For package installation, show both Visual Studio UI and .NET CLI (`dotnet add package ...`) methods.
  • Add a section or callouts confirming that all code and deployment steps are cross-platform, and provide troubleshooting tips for Linux environments.
  • If any screenshots or UI walkthroughs are included elsewhere, ensure Linux and macOS variants are shown or referenced.
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Scan History

Date Scan ID Status Bias Status
2025-07-12 23:44 #41 in_progress ❌ Biased
2025-07-12 00:58 #8 cancelled ✅ Clean
2025-07-10 05:06 #7 processing ✅ Clean
2025-07-09 23:22 #6 cancelled ✅ Clean

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