How Fixing My AI Coding Pitfalls Rescued My .NET Development Time Everyone talks about AI tools as a productivity superpower, but for me, integrating them into my daily .NET development initially felt like trying to code with one hand tied behind my back. I'd spend more time correcting copilot mistakes and refactoring Claude Opus 4.7 's suggestions than I saved writing new code. Honestly, I was pretty close to giving up on the whole idea, convinced these tools just weren't mature enough for serious enterprise .NET work. It took me an embarrassing amount of time to realize the problem wasn't the tools; it was my approach to using them. I was making some fundamental ai coding mistakes that turned every interaction into a time sink. I had jumped in expecting magic, hoping Visual Studio 2026 and Rider 2026 's AI integrations would instantly churn out perfect C# 13 code for my .NET 9 and .NET 10 projects. My goal was to accelerate boilerplate, unit test generation, and refactoring.…