Certainly, with Opus 5 and GPT-6, modernizing or even completely rewriting self-contained, non-critical tools seems like a Friday afternoon job now. I wonder however how important this is, in the grand scheme of things. I use GrapheneOS and the bundled messaging app is serviceable. It isn't pretty, but it gets the job done.

We're definitely not churning out code with AI models. There's no vibe coding going on in GrapheneOS. We're carefully writing and reviewing code as we've always done. We now have additional tools to assist with it. The main way we're using AI models is for code review and helping to write a lot more tests than we used to. It's helping to improve our code quality, not reducing it. We're not trying to get things done substantially faster.

The code generated by even the bleeding edge publicly available frontier models is rarely good enough to meet our standards. AI models are creating a lot of additional work for us because of how many more security issues are being discovered in upstream projects. It's also helping us raise our standards for our own work by pointing it at that to get extremely pedantic criticism catching many things we would miss.

We've hired multiple experienced app developers who have spent months working on modernizing the Messaging app and carefully reviewing it. There's no vibe coding going on for our apps. Why not look at the actual process of porting Messaging to Compose and our code review for each incremental part of the process?

https://github.com/GrapheneOS/Messaging/pulls?q=is%3Apr+is%3...

They are using AI [1]. I don't think messaging app is non-critical though.

[1] https://github.com/GrapheneOS/Camera/tree/compose