Developers building side projects can escape generic AI-generated aesthetics by combining a reactive iteration approach with a `/frontend-design` skill and a single physical metaphor prompt — no design background required.
Developers doing data science or ML work can now hand off entire notebook workflows to Claude Code — including error-fixing loops and package installation — by spending 10 minutes configuring the Jupyter MCP Server and dropping a `CLAUDE.md` file in their repo.