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i’m surprised no one has agentic-coded a buffer alternative with native ios client, and maybe local-first?

the diff rendering could be improved, i'm thinking about making it a word-wise diff, any other ideas for diff algorithms lmk, i want to know more about diffs

good update

leaning on proprietary undocumented formas like xcode projects might have seemed a good idea for many years, but it’s become as painful for llms as it’s always been for humans

ai has made apple release cycles feel terribly slow

by the time they release something to catch up with the industry, the idea is already obsolete

apple has traditionally made app development transitively dependent on macos and apple hardware through xcode, but in a world of agents, or headless coding, there’s never been a better opportunity to break that dependency further

a macos environment for the agent can be an implementation detail

with ai writing automation for you in bash, and companies providing runners for your ci jobs, may abstractions and concepts such as mobile ci fall apart

damn! even xcode projects

ai managing them means we can gear tuist’s mental energy towards shaping new app building experiences

if you’ve got an agent building features remotely (e.g., for an ios app), how important it is to go through the standard pr review process?

won’t we get to a point where we can trust the agent to review the work and also run automated tests such that work can land directly on “main”?

But ☝ when we recognize this scenario, we'll automatically resign the app on the fly and include your device in the provisioning profile. Removing friction in developers' workflows brings us so much joy 😌

And we have so many ideas for the app. For example, if your device ID was not included in the provisioning profile when the app was signed, you can't download the app.

Prisma Postgres now supports `eu-central-1` 🎉

In our last poll, Frankfurt was your top pick. Now, Prisma Postgres is live right where you asked for it.

Thanks for voting and helping shape where we go 🙌

revisiting a favorite song, linking to its youtube, learning that people are learning about this song because their ai girlfriends say that they 'like' the song, staring at the wall, staring at the wall, staring into space, throwing computer out window