We’re exploring Meta’s Federation Platform, a scalable set of tools for managing compliance-related tasks, along with Privacy Waves, our method for batching these tasks and ensuring accountability. Together, the Federation Platform and Privacy Waves create a structured, effective, and sustainable approach to operationalizing privacy work, enabling Meta to safeguard user data for the billions of [...] Read More... The post Federation Platform and Privacy Waves: How Meta distributes compl...| Engineering at Meta
The state of the research Diff Risk Score (DRS) is an AI-powered technology built at Meta that predicts the likelihood of a code change causing a production incident, also known as a SEV. Built on a fine-tuned Llama LLM, DRS evaluates code changes and metadata to produce a risk score and highlight potentially risky code [...] Read More... The post Diff Risk Score: AI-driven risk-aware software development appeared first on Engineering at Meta.| Engineering at Meta
We are proud to announce that Meta has officially joined the Kotlin Foundation as a gold member, marking a significant milestone in our ongoing commitment to Kotlin and the broader Android developm…| Engineering at Meta
Meta and Quansight have improved key libraries in the Python Ecosystem. There is plenty more to do and we invite the community to help with our efforts. We’ll look at two key efforts in Python’s p…| Engineering at Meta
At Meta, we’re always looking for ways to enhance the productivity of our engineers and developers. But how exactly do you measure developer productivity? On this episode of the Meta Tech Podcast P…| Engineering at Meta
