alt Hacker News>The problem is code is the wrong abstraction for the work we do
My team recently spent two weeks on a wild goose chase trying to figure out why TensorFlow Lite was generating nonsensical OpenCL kernels. Well it turns out that LLVM had a few bugs in the RISC-V assembly for our platform that was leading to silent garbage. It took combing through assembly dumps, hexdumps, a lot of pain staking debugging, and going through the TensorFlow Lite source code to to track this down.
In your opinion, if code is the wrong abstraction to be working at, how do you approach this scenario?
Fair question - IMO it's the wrong abstraction for building and collaborating on a new product with a team.
To your point, it's not the wrong abstraction for solving code level bugs. Just like python is not the right abstraction for solving memory corruption or pointer mis-alignments.