AI Frontend

Prerequisite: Familiarity with the concepts introduced in Executive Summary. Review it first if the terminology in this part is unfamiliar. Answer-first: Generative UI (GenUI) is a frontend architectural pattern where Large Language Models dynamically generate structured UI components (such as interactive forms, charts, and data tables) rather than plain streaming Markdown text. By coupling LLM tool-calling output with a validated client-side React component registry and Server-Driven UI (SDUI) protocols, GenUI delivers personalized, deterministic visual interfaces in real time while maintaining strict accessibility, security, and rendering performance. ...

AI-Native Frontend in 2028: 10 Architecture Predictions Executive Summary & AI Playbook Baseline Transitioning to AI-native operations requires an end-to-end strategy across 5 foundational pillars: Context Engineering & DDD: Aligning agent context windows with Domain-Driven Design bounded contexts to eliminate prompt hallucination. AI Platform Layer: Centralizing LLM API gateways, semantic caching, rate limiting, and model fallback cascades across all frontend and backend clients. Internal Ops Automation: AI-assisted code review, automated documentation generation, and internal operational workflow orchestration. Policy-as-Code & Agentic CI/CD: Enforcing automated security governance, static analysis rubrics, and evaluation gates before merging AI-generated code. AI-Native System & UI Architecture: Generative UI runtimes using Model Context Protocol (MCP), dynamic component registries, and streaming state synchronization. 1. Context Engineering & Domain-Driven Design (DDD) Context engineering injects structured, domain-scoped data into LLM prompts using Domain-Driven Design (DDD) boundaries to prevent hallucinations and optimize context window consumption. ...