Barely anyone here touched on your idea that tab completion is great use of AI. On paper I like the idea of tab completion - I'm closer to the code, I'm doing, not waiting, I have more control. However, I'm not programmer building some complicated application - I'm data scientist writing short fragments of code to analyze data, train models and serve them. So maybe I don't see a big picture of code development.

Having said that, I cannot internalize how tab completion fits into my workflow - what are the benefits compared to IntelliSense. So far I've used LLMs as glorified search engines or to better understand some concepts.

In order to get a feel for tab completion I've installed continue.dev VS Code extension and connected it to local model. I don't know if there are better free alternatives (I hope so, since continue.dev project was killed recently and will not be ... continued)