Meta wants its own AI coding tools. To get there, it is telling its engineers to be careful with the rival tools they lean on today.
Meta has placed strict limits on how engineers in its applied AI division use Anthropic’s Claude Code and OpenAI’s Codex, The Information reported. The worry is inadvertent distillation. One internal memo even told some teams to pause tasks that used the outside tools. It warned that the rivals’ output could seep into Meta’s training data and trigger “serious escalations with partner companies”.
What distillation means here
Distillation is when one model learns from another model’s outputs. A company feeds a strong model’s answers into its own system, and the smaller model picks up the bigger one’s skills. The method is cheap, fast, and legally fraught.
That is the heart of Meta’s problem. The company is building its own coding tool, called MetaCode, to replace Claude Code and Codex. If its engineers rely on those rival tools while shaping the replacement, Meta could end up training on a competitor’s model by accident. That could breach the rivals’ terms of service and hand them a lawsuit.
