Testing
Security regression testing is the practice of continuously verifying that security controls remain effective as codebases evolve. It's the discipline that prevents a passing security audit in January from becoming a failed one in December. Without it, every feature deployment is a potential compliance event — and you won&
API Testing
API documentation that lies is worse than no documentation. When a spec says an endpoint returns { "id": "string" } but the server actually returns { "id": 42 }, every consumer who read the docs gets a runtime surprise. Dredd is a tool specifically built to prevent this.
Testing
Integration tests that mock the database are not integration tests. They are unit tests with extra ceremony. The moment you swap your real PostgreSQL for an in-memory SQLite, you stop testing the thing that breaks in production: your actual queries, your migrations, your transaction isolation, your Redis eviction behavior.
Testing
Screen reader testing means using a screen reader the way a visually impaired user would — navigating by keyboard, listening to element announcements, and verifying that your application makes sense without seeing it. This guide covers the major screen readers, essential commands, and a practical testing checklist for developers. Key Takeaways
.NET
Integration tests that mock the database lie. The query that passes with an in-memory mock fails against real PostgreSQL. The transaction that works in isolation deadlocks under the ORM's actual behavior. Testcontainers for .NET solves this by spinning up real Docker containers — real databases, real Redis, real
Testing
NVDA and JAWS both run on Windows, both read HTML, and both announce the same page — except they don't. ARIA live regions behave differently. Modal focus management works in one and silently fails in another. VoiceOver on iOS ignores ARIA patterns that work on macOS. This guide maps
Testing
Load testing is one of those disciplines where the ecosystem gap between runtimes is painfully visible. k6 runs JavaScript, Locust runs Python, Gatling runs Scala. If you are a .NET shop writing C# all day, reaching for a Python-based tool to test your ASP.NET service means learning a
Testing
Keyboard and screen reader testing is the part of accessibility work that most teams skip or do poorly. The reason is usually practical: it requires learning new tools, new interaction patterns, and it can't be fully automated with the same confidence as color contrast or missing labels. But
Testing
.NET Minimal APIs strip away the controller ceremony and put your endpoint logic directly in delegates. That's a win for readability, but it shifts how you think about testing. Controllers gave you a natural seam — test the controller class, mock its dependencies. Minimal APIs push you toward two
Testing
Most ML projects have zero tests for their scikit-learn pipelines. The model "works" if it trains without crashing and the accuracy metric looks reasonable. But this leaves a class of bugs invisible: * A custom transformer that silently drops rows * A Pipeline that applies preprocessing in the wrong
Testing
Architecture violations are silent killers. A domain entity that imports an EF Core context, a service class that directly instantiates a repository, a controller that contains business logic — none of these blow up at compile time. They accumulate quietly until the codebase becomes a tangle that no amount of refactoring
API Testing
The hardest bugs to find with manual testing are the ones you don't think to test. You write tests for the happy path, a few expected error cases, and maybe some edge cases you've burned by before. But the input space of a real API is