I had a ton of fun using Kaitai to write an unpacking script for a video game's proprietary pack file format. Super cool project.
I did NOT have fun trying to use Kaitai to pack the files back together. Not sure if this has improved at all but a year or so ago you had to build dependencies yourself and the process was so cumbersome it ended up being easier to just write imperative code to do it myself.
Yep. I've ran into this using Bugsnag for reporting on unhandled exceptions in Python-based lambda functions. The exception handler would get called, but because the library is async by default the HTTP request wouldn't make it out before the runtime was torn down.
I sympathize with OP because debugging this was painful, but I'm sorry to say this is sort of just a "you're holding it wrong" situation.
It's not AI but Ghidra has a cool feature called BSim which does something similar. Each function get's a "feature vector" which now that I think about it has some clear parallels to embeddings.
Is the benefit of using a language server as opposed to just giving access to the codebase simply a reduction in the amount of tokens used? Or are there other benefits?
Nice. This was one of the main shortcomings in Falcon that pushed me to switch some projects to FastAPI. That said FastAPI had many other benefits that went far beyond API specs.
https://github.com/chiefautism/privacy-parser