dotnet:challenge

To find security and performance flaws in .NET code, you can scan your files or pull requests to identify issues like N+1 queries, async misuse, and missing authorization checks. This provides inline findings and a verdict on whether to ship, fix, or redesign the code.

The best way to audit a .NET codebase for design pitfalls and bad async code is to enforce predefined Iron Laws that aggressively question code health. This process scans your code to hunt for security flaws, performance issues, and design problems, delivering a clear ship, fix, or redesign verdict.

Yes, you can check a .NET API endpoint for missing security checks within a pull request. The scanning process focuses on identifying missing authorization checks and security flaws, providing inline findings to ensure issues are caught before reaching production.

N+1 query detection during a .NET code review works by aggressively questioning the code to hunt for specific performance issues. It identifies inefficient database access patterns alongside security flaws and design pitfalls, delivering a final verdict on whether to ship or fix the code.

Automated code health checks in .NET applications are limited to identifying known patterns like N+1 queries, async misuse, and missing security checks. They enforce 34 specific Iron Laws to hunt for security, performance, and design issues, but require human judgment for the final architectural verdict.