not only that but the way that openai and claude have their own foundational models/agents trained to work via CLI, which will basically always be better than just cursors gpt wrapper approach.
frontier labs do finetuning of their models for software dev using the terminal/cli driven style, annotating datasets to solve programming in this fashion, and fine tuning will almost always make for better performance. Cursor as mostly a wrapper is just using the underlying foundation models in their framework and orchestrating on top of that, as opposed to doing actual learnable objectives in training to make things better.
