I've been using Visual Studio Code along with Copilot and various Claude models, but I constantly find myself correcting the outputs they generate. Despite using Copilot when it was primarily focused on code completion and now with the new Plan process, I'm still struggling to get accurate results. I've noticed that while I read about AI effortlessly creating complex applications without manual coding, that's not my experience. I haven't written any actual code with this new Plan, but I find myself correcting a lot of what was generated. If I can't even get a simple PowerShell script right without a lot of hands-on adjustments, am I missing something, or are these claims about AI capabilities exaggerated? I can't see this technology replacing an experienced PowerShell scripter anytime soon, and I think there are significant challenges for beginners.
4 Answers
It sounds like you’re seeing the difference between what’s marketed and the actual performance of these tools. They often oversell their capabilities, especially when it comes to less common languages like PowerShell.
Many AI tools are trained primarily on more generic coding resources, which can be a drawback for a specific language like PowerShell. The training data likely focused on languages with wider usage, leaving those specific skills less polished.
Exactly, I thought there was a wealth of PowerShell examples out there. It’s surprising if that isn't reflected in the model's training.
AI is good as a brainstorming partner, not a replacement for critical thinking. It often gives you a starting point but requires you to refine the code. Make sure to verify anything it generates before using it—especially for complex tasks!
I think the issue could be that AI tools aren't perfect and need your guidance. If you give clear instructions, like telling it to avoid mistakes, you might see better results. But they still might not be flawless.
I’m starting to think it’d be worth a shot to try and see if it helps!
That's definitely the vibe I'm getting! Seems like a lot of hype without the real-world results.