Engineering at Meta
@Meta_Engineers
Engineering at Meta is a technical news resource for engineers interested in how we solve large-scale technical challenges at Meta.
197 Following 219.5K Followers
🧠 Most AI bug-catching tools review your code the way a human reviewer would, only faster. What if the AI wrote a test that proved the bug instead?
That’s Catching Just-in-Time Tests (JiTTests) — a novel approach where LLMs generate executable tests designed to fail, surfacing behavioral changes in a code change before it lands.
After a year of research, it’s now part of Meta’s infrastructure.
✅ 589 engineers have engaged with it, reporting a 60% true-positive rate
📈 In the first half of 2026, it helped catch 74 privacy SEVs at the diff stage, lowering overall privacy SEV occurrence by 20%
🔗 Read how it works:
📄 Read our FSE 2026 paper, “Just-in-Time Catching Test Generation at Meta”:
#AI# #SoftwareEngineering# #SoftwareTesting# #DeveloperTools# #Engineering#
Show more
Today we’re announcing Petal: the world’s first petabit-class transoceanic subsea cable and the first to deploy multi-core fiber at scale.
Spanning 7,000 km (4,000+ mi) between France and the United States, Petal will deliver 1 Petabit per second (1 Pbps / 1,000 Tbps), doubling the capacity of today’s most advanced transatlantic systems.
Petal is set to enter service in 2029, setting a new standard for high capacity, high density SDM subsea cable designs.
Read the full technical breakdown on our engineering blog:
Show more
AI compute performance has roughly tripled every two years, but storage growth remains modest, making I/O bottlenecks a primary cause of GPU stalls.
To maximize GPU utilization and research velocity across hundreds of exabyte-scale storage clusters, we overhauled Meta’s BLOB-storage architecture specifically for modern AI workloads.
Read a full technical deep dive:
Show more
