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DevInfra Articles

8 articles

Related Tags

ML Applications(5)
Production Engineering(2)
Open Source(1)
Video Engineering(1)
Culture(1)
Data Infrastructure(1)
Security & Privacy(1)
Meta Tech Podcast(1)
Meta logoMeta
41 min read
AI•2026-04-16

Capacity Efficiency at Meta: How Unified AI Agents Optimize Performance at Hyperscale

Meta's Capacity Efficiency Program uses unified AI agents to automate finding and fixing performance issues at infrastructure scale.

DevInfra
ML Applications
Production Engineering
Meta logoMeta
81 min read
Architecture•2026-04-09

Escaping the Fork: How Meta Modernized WebRTC Across 50+ Use Cases

Meta escaped the "forking trap" by migrating from a divergent WebRTC fork to a modular upstream-based architecture, enabling continuous upgrades while serving billions of users.

DevInfra
Open Source
Video Engineering
Meta logoMeta
81 min read
DevOps•2026-04-08

Trust But Canary: Configuration Safety at Scale

Meta discusses safe configuration rollouts at scale using canary deployments and progressive rollouts.

Data Infrastructure
DevInfra
Production Engineering
Security & Privacy
Meta Tech Podcast
Meta logoMeta
31 min read
AI•2026-04-06

How Meta Used AI to Map Tribal Knowledge in Large-Scale Data Pipelines

Meta built a pre-compute engine with 50+ specialized AI agents to systematically document tribal knowledge in a 4,100-file data pipeline spanning three languages.

DevInfra
ML Applications
Meta logoMeta
101 min read
Architecture•2026-04-02

KernelEvolve: How Meta’s Ranking Engineer Agent Optimizes AI Infrastructure

Meta's KernelEvolve is an agentic system that autonomously optimizes AI kernel code for heterogeneous hardware including NVIDIA GPUs, AMD GPUs, MTIA silicon, and CPUs.

DevInfra
ML Applications
Meta logoMeta
61 min read
AI•2026-03-17

Ranking Engineer Agent (REA): The Autonomous AI Agent Accelerating Meta’s Ads Ranking Innovation

Meta's Ranking Engineer Agent (REA) is an autonomous AI agent that manages the end-to-end ML lifecycle for ads ranking models with minimal human intervention.

DevInfra
ML Applications
Meta logoMeta
61 min read
AI•2026-02-11

The Death of Traditional Testing: Agentic Development Broke a 50-Year-Old Field, JiTTesting Can Revive It

This post introduces Just-in-Time Tests (JiTTests), an AI-driven testing approach designed to keep pace with agentic software development.

DevInfra
ML Applications
Meta logoMeta
141 min read
Backend•2025-12-22

Python Typing Survey 2025: Code Quality and Flexibility As Top Reasons for Typing Adoption

The 2025 Typed Python Survey (1,241 responses) examines adoption trends, pain points, and tooling preferences across the Python typing ecosystem.

Culture
DevInfra