It almost appears as if the code was minified. The variable names are short and formatting looks like it's written to minimize whitespace. Did it write it in this compact format all on it's own?
I thought the macOS notarization process was annoying until we started shipping Windows releases.
It’s basically pay to play to get in the good graces of Windows Defender.
I think all-in it was over $1k upfront to get the various certs. The cert company has to do a pretty invasive verification process for both you and your company.
Then — you are required to use a hardware token to sign the releases. This effectively means we have one team member who can publish a release currently.
The cert company can lock your key as well for arbitrary reasons which prevents you from being able to make a release! Scary if the release you’re putting out is a security patch.
I’ll take the macOS ecosystem any day of the week.
Exciting work! I’ve often wondered if an LLM with the right harness could restore and optimize an aging C/C++ codebase. It would be quite compelling to get an old game engine running again on a modern system.
I would expect most of these systems come with very carefully guarded access controls. It also strikes me as a uniquely difficult challenge to track down the decision maker who is willing to take the risk on revamping these systems (AI or not). Curious to hear more about what you’ve learned here.
Also curious to hear how LLMs perform on a language like COBOL that likely doesn’t have many quality samples in the training data.
the libs in the bench don’t really have an external deps. will be much more interesting to see the results with ffmpeg, Qt, etc. The original source releases from any repo here would also be great candidates: https://github.com/id-software