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by AlexanderDhoore
922 days ago
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This is kind of wishful thinking. I'm not saying you're wrong, but there's no real way to prove you're right. Sometimes open source wins, but not every time. The whole machine learning field is still too young to have a clear answer. |
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Already the emergent tools and frameworks are impressive, and the fact that you can make them yours by adding a couple of prompting lines and really tailor them to your codebase is the killer factor.
My tooling ( https://github.com/go-go-golems/geppetto ) sucks ass UI wise, yet I get an incredible value out of it. It's hard to quantify as a 10X, because my code architecture has changed to accomodate the models.
In some ways, the trick to coding with LLMs is to... not have them produce code, but intermediate DSL representations. There's much more to it, thus the book.