[danmaz74]

Until recently I was only using Copilot as an advanced autocomplete and to help writing tests, for which it's pretty useful.

A couple weeks ago I had to create some classes (typescript) implementing a quite big spec for a file format to transfer quizzes between applications. I decided to try some more advanced tool, ending up with Cursor and continue.dev. I copied the spec (which are public on the web) into a text file and used them as context, together with a skeleton start for the main class I needed, and experimented with different engines and different prompts.

The end result is that I got a very good starting point for my code, saving me many hours. Surprisingly, for this task, the best result was generated by Gemini 1.5 pro.

Since then I've been trying to integrate these tools more into my day to day programming, with varying results, but I'm now convinced that, even with the limits of the current LLMs, this technology can have a much higher impact on programming with better harnessing, eg integrating it with compiler/code analysis tools output and automated testing.