Engineering at Meta @fb_engineering
Engineering at Meta is a technical news resource for engineers interested in how we solve large-scale technical challenges at Meta. engineering.fb.com Joined August 2009-
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Over 10 years ago, we open-sourced React. And now, we’re excited to announce the next chapter: React & React Native are transitioning to the React Foundation under the Linux Foundation. Meta is committing $3M+ and a 5-year partnership to support this next chapter of innovation.…
🚀 Introducing OpenZL, a new #opensource, format-aware compression framework! It uses a unique “graph model” for compression, enabling modular, high-performance codecs and a universal decoder - perfect for structured data at scale Link: engineering.fb.com/2025/10/06/dev… #DataCompression
A stronger internet is on the horizon for APAC. Today we’re announcing our new subsea cable, named Candle, that links six countries with massive capacity to meet growing needs. Together with Bifrost, Echo, and Apricot subsea cables, Candle will enhance global network diversity…
Video makes up 70–80% of all mobile data traffic. Our new white paper with Vodafone and Google shows how the AV1 codec can reduce compression size by 30%, bring premium-quality streaming to mid-tier smartphones, and ease network congestion. Read more: engineering.fb.com/2025/09/24/vid…
Mutation testing is powerful but hard to scale. Our new LLM-based tool, Automated Compliance Hardening, is changing that. It generates highly-relevant, problem-specific mutants and the tests to catch them, tackling the high costs and irrelevant mutants that have long been…
Every day, 3.4 billion people use Meta's apps to connect and share. This scale, along with the accelerating growth of AI, is driving innovation across our infrastructure. In a new blog post, our VP of Engineering Yee Jiun (YJ) Song and Software Engineer Kaushik Veeraraghavan…
How can AI agents make a data warehouse more productive and secure? We’re tackling this question by building a multi-agent system to help teams manage and access data more efficiently. Take a deep dive in our new blog post to see how these agents work, the guardrails we've put…
Our newest data center in Kansas City, Missouri is officially live and serving traffic! By the numbers: - $1+ billion investment in Missouri - 1,500+ skilled trade workers at peak construction - 100+ operational jobs when fully completed - $1M+ in direct funding to local schools…
Gen AI is changing how we build privacy-first tech. This new talk by Meta software engineer Rituraj Kirti explores how we use Gen AI and automation to streamline privacy workflows, making it easier for developers to deploy purpose-limitation technology at scale. 📽️:…
Meta’s Federation Platform and Privacy Waves program powers 100K+ compliance tasks annually, driving efficiency and accountability for privacy, security & accessibility. By centralizing task distribution and accountability, we’re saving hundreds of thousands of engineering hours…
Enforcing purpose limitation across a platform as large as Meta's is a complex task. This talk by Meta software engineer Diana Marsala explores 3 early paradigms—dynamic propagation, unified policies, and centralized checks—and why we eventually had to rethink them for long-term…
What if you could control your computer with the slightest twitch of your finger or flick of your wrist? New research from Meta’s Reality Labs is pointing even more firmly toward wrist-worn devices using surface electromyography (sEMG) becoming the future of human-computer…
Ever wonder how Meta handles data privacy at scale? Watch this talk by Meta software engineer Danny Gagne as they dive deep into our data classification processes, from defining taxonomies to ensuring compliance with privacy policies like access control & data deletion. 📽️:…
Meta is focused on constructing innovative and sustainable data centers to accommodate the growth of our business. We’ve started piloting mass timber (which typically entails less emissions than with manufactured steel/concrete) in construction at our data center campuses,…
Over the last year, ExecuTorch – an open-source solution for on-device inference on mobile and edge devices – has been operational across key Meta apps, incrementally improving on-device ML performance, privacy, and efficiency. Explore the technical buildups and results in our…
We're rapidly expanding our AI infrastructure and have adopted a novel approach of building weather-proof tents to house GPU clusters. This enables us to get new data centers online in months instead of years. 🚀 Read more in this @FastCompany article: fastcompany.com/91369896/meta-…
Silent data corruption is a critical challenge in AI training and inference. It can be especially harmful for AI systems that depend on accurate data both for training and providing useful outputs. To detect SDCs, we deploy a range of methodologies at various scales across our…
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