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AI-assisted coding is no longer experimental. Many teams are using LLMs to generate UI components, business logic, tests, and documentation.

The challenge is integration:

→ Making generated code consistent with your architecture

→ Mapping outputs to your component library

→ Respecting tokens, patterns, and conventions

→ Keeping code maintainable over time

In this session, in collaboration with React Paris, Developer Advocate Riccardo will show how AI code generation fits into modern front-end development stacks and what needs to be in place to make it reliable (spoiler alert: we’ll be talking a lot about Design Systems).

We will have time for a long live Q&A to discuss your implementation questions.

Topics include:

→ Common failure modes of AI-generated UI code

→ Component-driven development and LLMs

→ Tooling that improves context and reduces hallucination

→ Aligning design systems, codebases, and AI assistants (MCP Server & Code Connect)

Who it’s for:

Front-end engineers, React developers, Design System engineers, tech leads and anyone else experimenting with AI-assisted development.