LLMs are undeniably useful for programming. The core challenge in making them more useful is the right UX for making this more seamless. I use intellij and things like codegpt.
A few weeks ago they enabled auto complete. I disabled it after a day. Reason: most of the suggestions weren't great and it drowned out the traditional auto complete, which I depend on. I just found the whole thing too distracting.
I also have the chat gpt desktop app installed since a few weeks. This adds a key binding (option + space) to be able to ask it questions. I've found myself using it more because of that. Copy some code, option+space, ask it a question and there it goes.
The main issue is that it is a bit ground hog day in the sense that I have to explain it in detail what I want every time. I can't just ask it to generate a unit test (which it does very well). Instead I have to specify that I want it to generate a unit test, use kotlin-test and kotest-assertions, and not use backticks for the function names (doesn't work with kotlin-js). Every time. If I don't it will just default to the wrong things because it doesn't remember your preferences for frameworks, style, habits, etc. and it doesn't look at the whole code base to infer any of that.
Mostly, progress here is going to come in the form of better IDE support and UX. The right key bindings would help. A bigger context so it can just grab your whole git project and be able to suggest appropriate code using all the right idioms, frameworks, etc. would then be possible. Additionally, it would be able to generate files and directories as needed and fill them with all the right stuff. I don't think that's going to take very long. Gpt-4o already has a quite large context and with the progress in OSS models, we might be doing some of this stuff locally pretty soon.
A few weeks ago they enabled auto complete. I disabled it after a day. Reason: most of the suggestions weren't great and it drowned out the traditional auto complete, which I depend on. I just found the whole thing too distracting.
I also have the chat gpt desktop app installed since a few weeks. This adds a key binding (option + space) to be able to ask it questions. I've found myself using it more because of that. Copy some code, option+space, ask it a question and there it goes.
The main issue is that it is a bit ground hog day in the sense that I have to explain it in detail what I want every time. I can't just ask it to generate a unit test (which it does very well). Instead I have to specify that I want it to generate a unit test, use kotlin-test and kotest-assertions, and not use backticks for the function names (doesn't work with kotlin-js). Every time. If I don't it will just default to the wrong things because it doesn't remember your preferences for frameworks, style, habits, etc. and it doesn't look at the whole code base to infer any of that.
Mostly, progress here is going to come in the form of better IDE support and UX. The right key bindings would help. A bigger context so it can just grab your whole git project and be able to suggest appropriate code using all the right idioms, frameworks, etc. would then be possible. Additionally, it would be able to generate files and directories as needed and fill them with all the right stuff. I don't think that's going to take very long. Gpt-4o already has a quite large context and with the progress in OSS models, we might be doing some of this stuff locally pretty soon.