From the commit history, it looks like you are using Claude for some of the development. Would love to hear how you are using Claude to go through such a massive code base.
I tried Google/Claude etc. But none worked. As per Claude, the technical name for that is Pillow Block Bearing/Shaft Coupling Block/Flange Mount Bracket. Funny thing is, your app didn't return any good result when I search with any of those terms.
After reading your blog post, I searched for "block with 2 holes". And lo and behold, it returned ABC-00162357!
Couple of suggestions:
1) Have a permanent link for each model
2) Show related models when a model is clicked
3) and lastly, show models based on an image
edit: Search for "mounting block" returned ABC-00180735 which is exactly what I was looking for. Thank you so much for making this!
Another thing that helps is adding a session hook that triggers on startup|resume|clear|compact to remind Claude about your custom skills. Keeps things consistent, especially when you're using it for a long time without clearing context
Instead of including all these instructions in CLAUDE.md, have you considered using custom Skills? I’ve implemented something similar, and Skills works really well. The only downside is that it may consume more tokens.
I ended up getting ASRock X870E Taichi Lite. The main reason to get it was because it had 2 CPU x8 slots which are spaced perfectly for an Nvidia NVLink. And, they are Gen5 PCIe.
If you know what to look for, the report actually has quite a few details on how they did it. In fact, when the report came out, all it did was confirm my suspicions.
"A report was recently published by an AI-research company called Anthropic. They are the ones who notably created Claude, an AI-assistant for coding. Personally, I don’t use it but that is besides the point."
Not sure if the author has tried any other AI-assistants for coding.
People who haven't tried coding AI assistant underestimates its capabilities (though unfortunately, those who use them overestimate what they can do too). Having used Claude for some time, I find the report's assertions quite plausible.
not an AI expert but from a talk I recently heard... if there is a mismatch in training data between the "teacher" LLM and "student" LLM, you risk teaching the student to hallucinate or to ignore information
https://github.com/R6410418/Jackrong-llm-finetuning-guide