Meta’s AI Race: Slow Coding, Fast Paychecks, And Vibe Fails
Meta’s big AI bet hit a speed bump—turns out their own systems, designed for billions, take 'too long' to deploy changes (hours vs. minutes) and kill the new trendy 'vibe coding.' To fix this, Meta’s Superintelligence Labs led by ex-GitHub CEO Nat Friedman adopted Vercel and GitHub in September 2025, shaving deployment times from 99 to 2 minutes. Fun fact: both Friedman and Meta’s AI chief Alexandr Wang are investors in Vercel, which recently raised $300M at a $9.3B valuation. Meanwhile, Zuckerberg was spotted rocking Meta x Ray-Bans, probably calibrating his hype glasses for the Silicon Valley AI showdown.
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Meta pays nine-figure salaries for top AI talent but still can’t vibe code on its own platforms—buying speed with Vercel and GitHub like a coder who can’t boil water without a blender.
Meta’s internal systems are so slow ‘vibe coding’ is impossible, so executives invested millions in another company that basically does Meta’s job faster and better. Efficiency via outsourcing the obvious!
When your internal AI tools are too slow for today’s culture of cool coder vibes, just spend hundreds of millions, hire ex-GitHub heads, and pretend to innovate by borrowing someone else’s tech.
Source: Businessinsider | Published: 10/3/2025 | Author: Pranav Dixit
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