How Meta Uses Django

AI coding assistants are powerful but only as good as their understanding of your codebase. When we pointed AI agents at one of Meta’s large-scale data processing pipelines – spanning four re…

The 2025 Typed Python Survey provides insights into the adoption of Python's type system, highlighting code quality and flexibility as primary motivations for its use.

The article discusses Meta's Systematic Code and Asset Removal Framework (SCARF), which automates the identification and removal of dead code through a combination of static and dynamic analysis.

The article discusses the development and launch of Threads, Meta's new social app designed for decentralized content sharing across multiple platforms.

The article introduces Immortal Objects for Python, a feature that allows objects to bypass reference count checks and persist throughout the entire runtime execution.

The article discusses how Instagram optimizes its Python runtime using the Cinder JIT compiler, particularly focusing on the function inliner feature.

The article discusses Facebook's implementation of throughput autoscaling for its web tier, a system designed to dynamically adjust resource allocation based on real-time demand.

Pysa is an open-source static analysis tool developed by Facebook to detect and prevent security issues in Python code.

The article introduces the Community Cellular Manager (CCM), an open-source software management and deployment suite designed for small-scale cellular networks, particularly in rural areas.

The article discusses Augmented Traffic Control (ATC), a tool developed by Facebook to simulate various network conditions for testing applications.