AI Amazes Me Most Where I Need It Least
I’m still in the crawl phase of AI adoption, and I’m increasingly unsure why AI feels so different across my skill areas. GitHub Copilot feels almost magical when I work in technologies I barely know, because it helps me build things I wouldn’t normally attempt. In C# or Java, the acceleration is real and noticeable. In T SQL, however, AI often feels less impressive, and I keep wondering whether that’s due to my higher expectations or simply how I work. I see every inefficiency immediately, which makes the output feel more like review work than acceleration. That contrast makes me question how I can use AI more effectively in the areas where I’m already an expert. I’m still trying to understand why the gap feels so large and how to close it. Even so, AI already enables projects outside my comfort zone that I wouldn’t have tackled before.
