Ctrl+I kind of does this: https://code.visualstudio.com/docs/chat/inline-chat

This worries me the most. Will all the tools we used before AI become obsolete and disappear. Is Ruby heading for the graveyard because LLM’s seem to prefer Python. If we aren’t careful we could end up with a lot less choice of tools.

Do you check AI generated code directly in the PR page then?

I don't know, I found AI autocomple pretty useful, e.g. if I'm coding manually, but still don't want to type tedious, repetitive log messages or other boilerplate myself.

The two Issues I saw were:

- If it says "tab completion", than that's what it should do, and not more. I eventually disabled the copilot model, not because it wasn't useful, but because VSCode's integration was overzealous and kept on suggesting all kinds of things even if I never asked for it, pulling me out of focus every time. Unlike any of their other completions, btw...

- It was not integrated with the existing completions at all, often creating chaos: The standard completions show you available classes, methods, parameters etc, in your current context, based on the information from the language server. The AI completion happily ignored the language server and showed you suggestions for nonexistent fantasy methods instead.

In general, I think acceptance of AI could be better if we offered more "lower-case AI" options, that let people offload the tedious parts of their workflow instead of taking away the entire process of creating.

As an example, there are lots of image generation models that take a short text prompt and will give you a complete finished work, making thousands of creative decisions in the process, according to their training data. Those models do not have artists as their target group - they are basically targeted at everyone but artists and replace their role. Hence the predictable backlash.

But where are the tiny, locally runnable models that, say, turn a sketch into a lineart, or apply coloring and shading according to given reference images?

I think the OG github copilot version felt magical in that time. But I've never tried working like that with current frontier models. Considering how they train it now it might never work without changes how model respond.