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.

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.

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?

In C#, the StringValues struct belongs to the Microsoft.Extensions.Primitives namespace, which is widely used in modern .NET applications. This struct plays a crucial role in efficiently managing string collections, especially when handling efficiently, particularly in contexts where multiple strings are involved. In this blog post, we’ll explore the purpose, usage, and key features of the StringValues struct in C#.

When we activated static code analysis for the first time in one of my last projects, the overwhelming number of warnings exceeded expectations and highlighted gaps in the code. Without making any changes, the project already had a significant number of warnings. After activating additional analyzers and updating some configurations, this number temporarily increased dramatically.

The high number of warnings was initially daunting, but we saw it as an opportunity to significantly improve our code quality. At first glance, it seemed easier to suppress or ignore these warnings. But as I often remind my team, “The code you create is a valuable legacy, so it’s important to build it carefully.” Ignoring warnings today creates obstacles for future developers—and that could very well include you six months down the line.

This experience reinforced the importance of managing warnings and errors systematically. Let me share some of the lessons we learned, the strategies we used to tame those 60,000 warnings, and how you can apply these techniques to your own projects.