The Great Divide: Three AI Coding Approaches Emerge as Nvidia Transforms Hardware Strategy

The AI coding tool market is crystallizing into three distinct categories—Claude Code as terminal-native agents, Cursor as AI-native IDEs, and GitHub Copilot as multi-editor extensions—with pricing converging at the $20/month tier while developers increasingly mix multiple tools. Simultaneously, Nvidia is reshaping the AI infrastructure landscape by pivoting from general-purpose GPUs to specialized inference chips (Groq 3) and CPU-centric solutions (Vera), while a critical CPU supply shortage accelerates adoption of more efficient architectures. These parallel developments underscore AI's evolution from experimental tools to mature platforms requiring specialized infrastructure.