AI Builds AI: How Anthropic’s Claude Codes Its Future

Somewhere in San Francisco, there is a software engineer whose job is to tell an AI that its pull request is “fine, just add a test.” According to Time , Anthropic now lets Claude write 70-90% of the code used to build Claude’s future versions. That’s the headline that launched a hundred RSI takes about how AI builds AI and we’re one CUDA kernel away from Skynet. Except that’s not the interesting part. The interesting part is that once models are doing most of the R&D grunt work, the whole shape of AI progress changes. You don’t get a single sci‑fi “intelligence explosion.” You get a permanent, high‑frequency, hard‑to‑audit acceleration loop where humans slowly slide from authors to reviewers. That’s not an existential-metaphysics problem for 2035. It’s a governance and operations problem for this quarter. TL;DR “AI builds AI” at Anthropic mostly means Claude automates model‑building chores; humans have become editors and gatekeepers, not the primary coders. This is weak recursive self