Meta is now facing the exact problem every AI company will soon face.

It wants to replace expensive external coding tools like Claude Code and Codex with its own internal system， MetaCode. But to build a better coding model， Meta has to make sure it is not accidentally training or evaluating on outputs from rival models.

That is the distillation trap： The more companies rely on frontier models to build internal AI infrastructure， the harder it becomes to prove where the intelligence actually came from.