Code Generation
The ability of AI models to translate intent—expressed as prose, pseudocode, or examples—into executable source code. Code generation underpins vibe coding, autocomplete tools, and agentic workflows. Generated code should always be reviewed for correctness, security, and maintainability, since models can produce plausible-looking but incorrect implementations.
Workshop
AI
Framer's collaborative design environment enabling multiple team members to work simultaneously on projects. Workshop facilitates design reviews, handoffs, and team alignment. Use workshop features for feedback and collaborative iteration.