yeah, I started mostly with copy paste in the idea: duplicate this component and rename it to X because it largely did the same thing.

Eventually, I just use vscode to get a better picture, but i can get deer flow to pump out scaffolds, then tidy them up in open code.

It's about equal to what I can accomplish, but the current local LLMs when properly guided, do a lot better with complex dependency errors. So what I give up in my little programming bubble, I gain from not banging my head against some stupid 3rd party error or speghetti even driven madness.

They still don't get passed the level of complexity I know I can, but doing mostly greenfield or patches to open source, I spend a lot of time just restructuring.

With all that said, I'm probably in the same place as all the other AI users: not that much ROI in the bag.