Codex produced the only remotely usable Hyprland 0.55.2 configuration among three AI tools tested, but the file still needed manual fixes before it would run properly.
Four immediate errors surfaced: no default terminal was set, border_radius was obsolete, rounding used an invalid "12px" value, and windowrule failed; the setup also required installing kitty, Waybar and rofi.
A first CachyOS install with only Hyprland left the writer with a near-nonfunctional desktop, prompting a second install with KDE Plasma as a fallback environment to repair the Codex-generated config.
After those corrections, Hyprland worked as a basic skeleton setup, though it missed the requested purple-pink theme and still needed further tweaking.
The test reinforced the writer's conclusion that AI can help users start a complex text-based configuration, but it remains unreliable enough that users must understand and correct the output themselves.
Is AI a flawed code generator, or are we just using it wrong for complex, context-heavy tasks?
If AI generates code faster but requires more human verification, has it truly made developers more productive?
After AI-linked outages at Amazon and Azure, is scaling AI in development a risk we can no longer afford?