Comment by dotinvoke
My experience with AI tools is the opposite. The biggest energy thieves for me are configuration issues, library quirks, or trivial mistakes that are hard to spot. With AI I can often just bulldoze past those things and spend more time on tangible results.
When using it for code or architecture or design, I’m always watching for signs that it is going off the rails. Then I usually write code myself for a while, to keep the structure and key details of whatever I’m doing correct.
For me, LLMs always, without fail get important details wrong.
- incessantly duplicating already existing functionality: utility functions, UI components etc.
- skipping required parameters like passing current user/actor to DB-related functions
- completely ignoring large and small chunks of existing UI and UI-related functionality like layouts or existing styles
- using ad-hoc DB queries or even iterating over full datasets in memory instead of setting up proper DB queries
And so on and so forth.
YYMV of course depending on language and project