Software testing is a fundamental discipline in modern software development that ensures applications meet their intended requirements and function correctly under various conditions. It spans multiple levels from unit testing individual components to integration testing that validates how different parts work together, and system testing that examines the complete application. Testing strategies include both manual and automated approaches, with test-driven development and behavior-driven development representing methodologies that integrate testing directly into the coding process. Effective testing practices help identify defects early, reduce maintenance costs, improve code quality, and provide confidence in software releases. The field continues to evolve with advances in test automation frameworks, continuous testing in CI/CD pipelines, and quality assurance techniques that support modern development practices.
Testing
TUnit — A Pragmatic Evaluation for .NET Teams
How to Use Copilot Without Becoming Its Puppet
In a previous article, we laid it out – unfiltered: Copilot turns junior devs into syntax secretaries.
Not because it’s evil. But because it removes friction before understanding.
It gives you working code before you know what working even means. It creates the illusion of progress, while slowly eroding the very skills that define a software engineer: reasoning, decision-making, and technical ownership.
Copilot Turns Junior Devs Into Syntax Secretaries
The hype around GitHub Copilot (or any other AI code assistant) is deafening. AI-assisted coding. Effortless automation. 10x productivity.
But here’s the harsh truth: Copilot isn’t empowering junior developers – it’s deskilling them.
Vibe Coding in .NET: Creative Catalyst or Maintenance Risk?
In the world of software development, there’s a recurring tension between discipline and improvisation. Somewhere along that spectrum lies a phenomenon increasingly referred to as Vibe Coding. The term evokes a style of development where engineers follow intuition and momentum rather than formal plans, processes, or design patterns.
It’s fast, fluid, and occasionally brilliant. But is it sustainable in a .NET-based enterprise context?