Just open-sourced VibeTensor — the first deep learning system fully generated by an AI agent, with 0 lines of human-written code: It’s a working DL system with RCU style dispatcher, a cache allocator and reverse-mode autograd. The agent also invented a Fabric Tensor system — something that doesn’t exist in any current framework. The Vibe Kernel includes 13 kinds and 47k LOC of generated Triton and CuteDSL kernels with strong performance. VibeTensor was generated by our 4th-generation agent. It shows a “Frankenstein Effect”: the system is correct, but some critical paths are designed in inefficient ways. As a result, performance isn’t comparable to PyTorch. I haven’t written a single line of code since summer 2025. I started this effort after @karpathy 's podcast — I didn’t agree with his arguments, so Terry Chen and I began using it as a stress test for our agents. The “Frankenstein Effect” ended up exposing some of our agent’s limitations — but the direction is clear.