What stood out to me more than this particular project is the visible acceleration of a phenomenon many of us could foresee, especially over the last year or so: people can build a version of the same idea faster than ever.
After like 10 minutes of searching I found multiple similar swift projects (most of them are just a couple of weeks or months old):
There were more if you include ones with fewer GitHub stars, CLI-only, non-Swift etc. but you get the idea.
People will increasingly be able to build their own version of the software they want. As that happens the value of someone else's decreases. The era of hyper-personal software is coming.
> If you fell for this once again, there's nobody else to blame but yourself.
We don’t need snarky comments like this, especially when the technology in question is so pervasive and takes a lot of cognitive effort to avoid. The blame lies solely with Microsoft.
LLMs can find issues that traditional SAST misses, but today they are slow, expensive, and nondeterministic. SAST is fast and cheap, but requires heavy manual rule maintenance. Our approach combines the strengths of both. The scanning engine is fully rule based and deterministic, with a rule language expressive enough to model code at compiler level accuracy. AI is used only to generate broad rule coverage across thousands of patterns, without sacrificing scan performance or reliability.
After like 10 minutes of searching I found multiple similar swift projects (most of them are just a couple of weeks or months old):
https://github.com/tdeverx/contained-app https://github.com/nico81/iContainer https://github.com/wouterdebie/davit https://github.com/Augani/dory https://github.com/tofa84/berth https://github.com/erdaltoprak/ContainerUtility https://github.com/andrew-waters/orchard
There were more if you include ones with fewer GitHub stars, CLI-only, non-Swift etc. but you get the idea.
People will increasingly be able to build their own version of the software they want. As that happens the value of someone else's decreases. The era of hyper-personal software is coming.