I have been trying to use Claude code to help improve my opensource Java NLP location library. However trying to get it to do anything other than optimise code or fix small issues it struggles. It struggles with high level abstract issues. For example I currently have an issue with ambiguity collisions e.g. Input: "California" Output: "California, Missouri" California is a state but also city in Missouri - https://gi…
The project, or your brain? I think this is what a lot of LLM coders run into - they have a lot of intrinsic knowledge that is difficult or takes a lot of time and effort to put into words and describe. Vibes, if you will, like "I can't explain it but this code looks wrong"