Paper
Riset akademis dan paper teknis tentang Generative UI, cara kerjanya, serta perbedaannya dengan AI UI Design
Studi Kasus
Contoh produk dan aplikasi nyata yang memakai Generative UI, dari prototype hingga production
Video
Tutorial, demo, dan talk praktis tentang cara membuat UI dengan AI serta integrasi Generative UI di React
Resource
Blog, dokumentasi, library komponen AI, SDK, dan framework Generative UI open source
Diskusi
Forum komunitas dan thread populer tentang tool AI UI/UX tanpa coding, Prompt, serta praktik GenUI
Resource Terbaru
Harness4GenUI 2026: Engineering Foundations for Generative UI
Workshop resmi ASE 2026 yang membahas fondasi software engineering untuk Generative UI. Harness4GenUI memandang interface dinamis sebagai runtime system dan menyusun pembahasan seputar context model yang stabil, UI schema, rendering contract, testing, observability, safety, dan governance, bukan hanya kualitas hasil generasi.
Toward Frontier-Quality Declarative UI Generation at Small-Model Cost
September 2026 Harness4GenUI paper studying whether small language models can generate production-oriented A2UI from approved component catalogs. Across task-management and cloud-console domains, the authors compare training-data strategies, model sizes, catalog sizes, cost, latency, binding correctness, and rendered quality.
EvoGenUI-Bench: Evaluating Multi-Turn Generative UI Assistants
August 2026 benchmark testing whether LLM assistants can maintain one executable web interface as user requirements evolve. EvoGenUI-Bench contains 150 five-turn tasks across information presentation, stateful interaction, and tool-grounded external state, with browser-based evaluation over screenshots, DOM and source evidence, actor traces, and runtime logs.
Maru: Information Architecture for Aligned, Persistent Generative UI
August 2026 HCI paper introducing information architecture as shared state for Generative UI. Maru captures how users partition, order, name, and prioritize information, turns those choices into persistent rules, and applies them across successive interface generations instead of rebuilding structure from each prompt.
SchemaGUI: A Schema-Driven Benchmark for Controllable GUI Generation
August 2026 benchmark for evaluating LLM-generated interfaces with deterministic annotations instead of noisy human labels. SchemaGUI synthesizes bilingual instructions and function-call references from parameterized UI schemas, then measures feasibility, geometry, and layout complexity across six scenarios and five models.
RAGE-Vis: A Relation-Aware Generative Editing Interface for Chart Editing
ChinaVis 2026 paper introducing a Generative UI for natural-language chart editing. RAGE-Vis turns bitmap charts into editable parameterized representations, parses composite requests, and generates hierarchical panels with coordinated global and local controls for underspecified editing intents.
LEGOUI: Designing with UI-DSL Bricks for Transparent, Controllable Generation
Paper HCI Agustus 2026 yang memperkenalkan framework Generative UI bertahap untuk ideasi desain awal. LEGOUI mencatat keputusan dari prompt dan inferensi model dalam UI DSL yang melacak asal keputusan, memungkinkan pengguna menerima, menolak, atau menambahkan keputusan pada tahap layout, interaksi, relasi, dan style, lalu melakukan rendering dari spesifikasi yang terus berkembang.
ggui: A Generative Interface Runtime over MCP
Apache-2.0 protocol and reference runtime for generating ephemeral, interactive interfaces from natural-language agent requests over MCP. ggui includes a self-hosted server, schema-negotiated render contracts, MCP Apps host helpers, bidirectional user events, reusable blueprints and gadgets, and runnable integrations for Claude, OpenAI Agents SDK, and Google ADK.
moi: An Agent-Generated Personal Software Workspace
Source-available local workspace where AI agents build and reshape persistent UI around a user's project. moi gives Claude Code, Codex, OpenClaw, and Hermes a skill-driven interface for creating live widgets, dashboards, canvases, and full views wired to files, commands, APIs, databases, and MCP servers, with the generated software stored in the workspace filesystem.