@FinanceYF5: 1/ Meta is dismantling its engineering base. The most striking point of this article is: Meta didn't start cutting when business was bad. On the contrary, at a time when revenue and profits were strong, it turned engineers from "profit creators" into "people whose costs need to be squeezed."
Summary
Meta proactively adjusted its engineering team structure when revenue and profits were strong, transforming engineers from profit creators into targets for cost control, reflecting a deep organizational change.
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Cached at: 06/19/26, 12:13 AM
1/🧭 Meta is dismantling its engineering foundation
The most striking point of this article: Meta isn’t cutting because its business is struggling.
On the contrary, when its revenue and profits are strong, it’s turning engineers from “profit creators” into “costs that need to be squeezed.” 👇 https://t.co/YzlGCcRH5L
1/ Meta is dismantling its engineering foundation
The most striking point of this article: Meta isn’t cutting because its business is struggling.
On the contrary, when its revenue and profits are strong, it’s turning engineers from “profit creators” into “costs that need to be squeezed.”
2/ It once won through engineering culture
For the past 20 years, Meta’s strongest asset wasn’t process — it was engineer autonomy, Bootcamp, impact culture, and stable infrastructure.
This system let it quickly ship Threads and support billion-user products.
3/ AI anxiety is reshaping the org
After Llama 4 underperformed expectations, Meta spent $14.8 billion to buy 49% of Scale AI and brought Alexandr Wang into the core of AI strategy.
The problem isn’t betting big on AI — it’s using engineers to patch AI gaps.
4/ Engineers being pulled into labeling
The article says some core teams have had 30% to 50% of their engineers forcibly reassigned to data labeling and RLHF.
After infrastructure, security, and product teams were hollowed out, those left behind have to fight fires while worrying about layoffs and performance reviews.
5/ Metrics are starting to backfire
Meta simultaneously announced cutting 10% of staff and brought AI token usage into performance reviews.
The outcome is predictable: engineers start using AI just for the numbers, even gaming the system with “token farming.”
6/ The outage wasn’t an accident
On May 30, Instagram suffered a severe account takeover incident. The article links it to the weakened security team, AI-written code, and AI-reviewed code.
If the chain of accountability is already broken, no matter how fast the fix is, the damage is already done.
7/ Original article
Why is Meta destroying its engineering organization?
That’s all for now
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