Neone Hub
Marketplace of AI-native UI components — structured for parsing and generation by AI agents.
The Problem Space
UI libraries are built for humans — no metadata, token schemas or machine-readable definitions for AI agents to assemble code reliably.
Core Challenge: Structure components, tokens and layout primitives so LLM agents discover, parse and generate production-ready UI.
Solution & Architecture
Neone Hub: semantic tokens plus machine-readable manifests and prompt-ready copy formats for instant agent consumption.
Core Scenarios
The interactive component sandbox presents live experiments across surfaces, custom shaders, and kinetic micro-interactions. Developers and designers can tweak parameters directly on the stage canvas, inspect token values in real time, and use single-click copy formats that inject clean component specs and prompt contexts directly into AI coding pipelines.
Key Engineering & Design Trade-offs
Enabled deterministic AST code generation for autonomous agent coding workflows.
Eliminated client bundle overhead and guaranteed instant sub-pixel rendering.
Allowed developers to stress-test interactive physics and spring kinematics directly.
Transformation
Outcome & Measured Impact
A marketplace cutting agent codegen errors and accelerating AI-assisted interface development.