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LLM for coding is bit meh after novelty wears off.

I've had problems where LLM doesn't know which library version I am using. It keeps suggesting methods which do not exit etc...

As if LLM are unaware of library version.

Place where I found LLM to be most effect and effortless is CLI

My brother made this but I use it everyday https://github.com/zerocorebeta/Option-K




I agree - it's exciting at first, but then you have experience where you go down a rabbit hole for an hour trying to fix / make use of LLM generated code.

So you really have to know when the LLM will be able to cleanly and neatly solve your problem, and when it's going to be frustrating and simpler just to do it character by character. That's why I'm exploring building tools like this, to try to iron out annoyances and improve quality of life for new LLM workflows.

Option-K looks promising! I'll try it out.


When I get frustrated with GPT-4o, I then switch to Sonnet 3.5, usually with good results.

In my limited experience Sonnet 3.5 is more elegant at coding and making use of different frameworks.


For the library problem, I have even tried feeding it requirements.txt (which contains version of libraries, I also fed it python version I am using.) i use but no success with that either!

It's definately better than any other LLM out there.

But it also gets stuck and creates frustration.

Atm, I am writing code which does video editing. It keeps suggesting me some parallel approach, when it fails it suggest me going back to origin approach. Then it suggests me parralel approach again using some other hack and none of them work!




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