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I'm genuinely confused about your point of view. Have you tried refactoring with GPT-4? I have been refactoring code using gpt-4 for some months now and the li
by motoboi 3y ago
I'm genuinely confused about your point of view. Have you tried refactoring with GPT-4?
I have been refactoring code using gpt-4 for some months now and the limiting factor have been the context size.
GPT-4 turbo now have 128k context and I can provide it with larger portions of the code base for the refactors.
When we have millions of tokens of context, based on what I'm experiencing now, I can see that a refactoring like the one made in ffmpeg would be possible. Or not? What am I missing here?