# Bun’s Zig fork got 4x faster compilation times

**URL:** <https://ziggit.dev/t/bun-s-zig-fork-got-4x-faster-compilation-times/15183>\
**Category:** Media\
**Tags:** language, llm, ai-used\
**Created:** [April 26, 2026, 6:23pm UTC](https://ziggit.dev/t/bun-s-zig-fork-got-4x-faster-compilation-times/15183 "2026-04-26T18:23:42Z")\
**Posts on this page:** 1\
**Showing post:** 18

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**Author:** ![wbrian](https://ziggit.dev/user_avatar/ziggit.dev/wbrian/32/4227_2.png) [@wbrian](https://ziggit.dev/u/wbrian)\
**Post date:** [April 27, 2026, 12:19pm UTC](https://ziggit.dev/t/bun-s-zig-fork-got-4x-faster-compilation-times/15183/18 "2026-04-27T12:19:00Z")

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> [@floooh](#):
>
> That’s a rare exception, IME there are many more examples where people simply switch off their brains and don’t even review the generated code, not to mention thorough testing.

This is one of those things that’s inherently subject to confirmation bias. There’s tons of vibe-slop engagement bait on social media, high-profile examples where AI coding went wrong does numbers, and incompetent developers (AI assisted or not) vastly outnumber competent ones.

It’s much less interesting and salacious when someone uses these tools in an unremarkable manner, so we rarely hear about it.

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