Meta requires internal engineers to use the AI coding assistant MetaCode to accelerate catching up with OpenAI and Anthropic

TechFlow News, August 5, according to The Information, Meta is pushing thousands of internal engineers to use its self-developed AI programming assistant MetaCode to enhance the code generation capabilities of its AI models and accelerate catching up with OpenAI and Anthropic in the AI programming competition.

It is reported that Maher Saba, Vice President of Meta's Applied AI Engineering Department, requested in an internal memo last month that company engineers use MetaCode to complete at least one code "diff" (code change) per week; these code modifications will be integrated to improve AI models after review.

Meta hopes to accumulate more engineering practice data by having AI coding tools run at scale in real software development environments, improving the model's performance in code generation, debugging, and software development tasks. Through large-scale internal usage scenarios, it aims to narrow the gap between its AI coding capabilities and industry leaders, including tools such as Anthropic's Claude Code and OpenAI's Codex.