vibe-infer: Learning GPU Programming with Claude Code (blog.vtemian.com)

A new project named "vibe-infer" showcases the potential of AI-assisted learning in GPU programming, using Anthropic’s Claude Code as a coding tutor. The initiative documents a comprehensive journey where the creator transitioned from zero knowledge of WebGPU to successfully implementing a real-time MNIST classifier using compute shaders. This approach emphasizes a hands-on learning style, where the AI acts purely as a reviewer, highlighting errors and explaining GPU-specific concepts rather than writing the code itself. The process involved 155 messages, capturing the iterative nature of learning and the importance of understanding over mere completion. This project is significant to the AI/ML community as it emphasizes the value of personalized, interactive learning experiences in complex subjects like GPU programming, which requires a different mindset compared to traditional programming. The lessons built around core operations, such as matrix multiplication and softmax normalization, illustrate the intricacies of GPU compute, highlighting the need for understanding memory management and parallel execution. The resulting system operates entirely in the browser without reliance on conventional ML frameworks, underscoring the growing capabilities and accessibility of GPU computing through modern APIs like WebGPU. The entire session can be accessed online, encouraging further exploration and collaboration within the tech community.