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- 1Shelly 3.1.10 Adds Reliable AUR Builds and New Progress Bar●# Shelly 3.1.10 Brings More Reliable AUR Builds, a New “Shell” Progress Bar, and More https:// 9to5linux.com/shelly-3-1-
Shelly 3.1.10 has been released, bringing more reliable builds for the Arch User Repository and a new shell-styled progress bar, along with other improvements. The update is drawing attention in the Linux and open source community, particularly among Arch Linux users who rely on AUR tooling for installing packages on their systems.
- 2Yay 13.1 released with faster dependency resolution for Arch users●Yay 13.1 improves dependency resolution performance, package search accuracy, repository handling, and Lua scripting cap
Yay 13.1, a popular AUR helper for Arch Linux, has been released with faster dependency resolution, more accurate package search, improved repository handling, and expanded Lua scripting capabilities. Linux users are discussing the update as a welcome refinement to one of the most widely used tools for installing packages from the Arch User Repository.
- 3Developer reviews 19 Arch Linux repos commit by commit over AI code▼Current relationship with IA generated code: I just reviewed 19 source code repositories, commit by commit, for commits
A developer says they examined 19 source code repositories in the Arch Linux User Repositories, going through the past year of commits one by one, before trusting a package enough to install it at home. The effort was framed as a way to gauge how much AI-generated code is now landing in community repositories, and the level of scrutiny it forces on users.
- 4Developer manually reviews AI-written code across 19 repositories●Current relationship with AI generated code: I just reviewed 19 source code repositories, commit by commit, for commits
A developer has audited 19 source code repositories, commit by commit, looking at changes from the past year in packages downstream of the Arch Linux User Repositories. The review was done to gain enough confidence to install a new package on a home computer, and highlights how much scrutiny AI-generated code may require before being trusted.