AI Coding Tools Are Getting Better — So Why Are We Still Spending So Much Time Managing Them?

AI coding tools can now write features, edit multiple files, debug code, run commands, and generate tests.

But while researching how developers use these tools, I keep seeing the same question:

Are AI coding tools actually saving us as much time as they should?

The models are becoming more capable, but developers still seem to spend significant time managing context, checking changes, watching usage limits, choosing models, and explaining the same project information again.

I’m trying to understand whether these are widespread problems or just isolated experiences.