A different way to generate code with LLMs In my daily work as consultant, I'm often dealing with large pre-existing code bases. I use GitHub Copilot a lot. It's now basically indispensable, but I use it mostly for generating boilerplate code, or figuring out how to use a library. As the code gets more logically nested though, Copilot crumbles under the weight of complexity. It doesn't know how things should fit together in the project. Other AI tools like Cursor or Devon, are pretty good at ...
