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.

Related terms

Related terms

Wireframer

AI

Framer's AI-powered feature that generates layout wireframes from text descriptions, accelerating the design process. Wireframer quickly explores structural options before committing to detailed design. Use generated wireframes as starting points for customization.

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.

AGENTS.md

AI

AGENTS.md is a project instruction file that gives AI coding agents task context, workflow rules, and constraints so agent behavior aligns with team standards.

Agent Skills

AI

Agent Skills are modular capability definitions that package domain-specific guidance, tools, and patterns for recurring agent tasks.