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Meta loves Python – Engineering at Meta
By now you’re already aware that Python 3.12 has been released. But did you know that several of its new features…
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Easy Precision Time Protocol at Meta
While deploying Precision Time Protocol (PTP) at Meta, we’ve developed a simplified version of the protocol (Simple…
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DotSlash: Simplified executable deployment – Engineering at Meta
We’ve open sourced DotSlash, a tool that makes large executables available in source control with a negligible…
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Bettering machine studying iteration velocity with sooner utility construct and packaging
Slow build times and inefficiencies in packaging and distributing execution files were costing our ML/AI engineers…
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Lazy is the brand new quick: How Lazy Imports and Cinder speed up machine studying at Meta
At Meta, the quest for faster model training has yielded an exciting milestone: the adoption of Lazy Imports and…
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How Meta is advancing GenAI
What’s going on with generative AI (GenAI) at Meta? And what does the future have in store?
In this episode of the…
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AI debugging at Meta with HawkEye
HawkEye is the powerful toolkit used internally at Meta for monitoring, observability, and debuggability of the…
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How Meta constructed the infrastructure for Threads
On July 5, 2023, Meta launched Threads, the newest product in our family of apps, to an unprecedented success that…
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Constructing end-to-end safety for Messenger
We are beginning to upgrade people’s personal conversations on Messenger to use end-to-end encryption (E2EE) by…
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Writing and linting Python at scale
Python plays a big part at Meta. It powers Instagram’s backend and plays an important role in our configuration…
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