My 2 cents on AI-assisted code authoring: First time I got my hands on Github Copilot some time ago, I intentionally chose something "odd" (so no CRUD API in X

My 2 cents on AI-assisted code authoring: First time I got my hands on Github Copilot some time ago, I intentionally chose something "odd" (so no CRUD API in X, Kafka stuff, sorting algorithm) so I chose to re-create some Excel sheet alike UI in React & Canvas. First everything proposed was misleading but after the first couple of lines, it astonished me by really proposing things like nested loops for iterating over a grid (surely, I used an according function name). I came quite far (for a quick test) with marking single and multiple cells and being able to drag the marked area and double-click for text input. Then I realized it was about time to invent a proper data model and stopped it there. All in all, I'm using it for like 50% of daily coding, but it's frequently misleading in subtle tricky ways that I expect to be quite dangerous especially if using it for tests as well (need to double-check if it's not BSing me twice). Debugging code is already a big drag in our work and I'm somehow not happy with debugging AI-generated code.